CN103218818B - Three-dimensional model dividing method and system - Google Patents

Abstract

A kind of three-dimensional model dividing method, pel mark is carried out to the two-dimension projection of three-dimensional model, calculate the confidence level of pel mark, mark according to the pel of the confidence level calculated to three-dimensional model, the figure element dividing of same mark will be noted as to same parts further in three-dimensional model, can split accurately the three-dimensional model of Non-Manifold, split the parts obtained corresponding with the building block of the entity that three-dimensional model represents.And, above-mentioned three-dimensional model dividing method will split the calculating of pel mark and the confidence level of being correlated be transformed into two-dimension projection to three-dimensional model, further according to splitting three-dimensional model the result of two-dimension projection, the data processing amount in three-dimensional model cutting procedure significantly can be reduced.In addition, a kind of three-dimensional model segmenting system is also provided.

Description

Three-dimensional model dividing method and system

[technical field]

The present invention relates to graphics process field, particularly a kind of three-dimensional model dividing method and system.

[background technology]

The pel of three-dimensional model is carried out significant classification mark, and will be noted as other figure element dividing of same class is further same building block, thus three-dimensional model is divided into multiple independently building block, is the basis of carrying out three-dimensional model process.A lot of tasks in Geometric Modeling, industry manufacture, cartoon making and texture mapping all depend on the result of three-dimensional model segmentation.Such as, the pel of the three-dimensional model of a chair is labeled as leg, handrail, seat cushion, mark that backrest is corresponding, will the figure element dividing of same mark be marked with to same building block further, thus obtains the model data of each parts of chair.

Three-dimensional model segmentation is a basic problem of graphics.Although have already been proposed a lot of method, traditional cutting techniques mainly designs for the three-dimensional model flowing shape.Then common a lot of three-dimensional models are all the Non-Manifolds be spliced by multiple fritter.

[summary of the invention]

Based on this, be necessary to provide a kind of three-dimensional model dividing method and the system that can split the three-dimensional model of Non-Manifold.

A kind of three-dimensional model dividing method, comprises the following steps S1 ~ S4:

S1: projection three-dimensional model under the first predetermined number predetermined angle, obtains the first predetermined number two-dimension projection of three-dimensional model;

S2: pel mark is carried out to the first predetermined number two-dimension projection and calculate pel mark confidence level;

S3: mark according to the pel of the confidence level calculated to three-dimensional model;

S4: the figure meta-tag according to three-dimensional model is split three-dimensional model, will be noted as the figure element dividing of same mark to same parts in three-dimensional model.

Wherein in an embodiment, in step S2, pel mark is carried out to the two-dimension projection under each predetermined angle and the step of confidence level calculating pel mark comprises the following steps S21 ~ S27:

S21: obtain the two dimension of object under described predetermined angle represented by described three-dimensional model and mark picture, the described two dimension pel marked in picture has been marked with the mark of pel generic, and the quantity that the described two dimension of acquisition has marked picture is the second predetermined number;

S22: described two-dimension projection and described two dimension have been marked picture and has carried out Region dividing;

S23: the region that the region in described two-dimension projection and described two dimension have marked in picture is mated, the region obtained in two-dimension projection has marked region corresponding in picture in described two dimension;

S24: calculating described two-dimensional projection picture difference of aliging with the distortion marked between picture of described two dimension is the distance sum that described two-dimensional projection picture and described two dimension have marked corresponding region between picture;

S25: the two dimension obtaining the second predetermined number has marked distortion alignment difference in picture and marked picture by the sort two dimension of the 3rd forward predetermined number of order from small to large;

S26: the two dimension of the 3rd predetermined number obtained has been marked the mark of pel in picture and moved on the pel in described two-dimension projection by gradation;

S27: calculate each pel in two-dimension projection described in each mark migration and be marked with the confidence level that two dimension has marked the mark correspondence of pel in picture.

Wherein in an embodiment, in step S22, some X-Y schemes are carried out Region dividing and comprise the following steps, this X-Y scheme refers to described two-dimension projection or described two dimension marks picture:

S221: every a line pel of X-Y scheme or each row pel are divided into an independent region;

S222: according to the distance between following formulae discovery adjacent area, a region is merged into by apart from minimum adjacent area, repeat the step of " according to the distance between following formulae discovery adjacent area; merge into a region by apart from minimum adjacent area ", until the region quantity comprised in X-Y scheme is not more than preset value;

$\mathrm{Dis}\tan t(D_i,D_{i+1})=\sqrt{h_i+h_{i+1}}\×\mathrm{BiSH}\left(R\right[D_i],R[D_{i+1}\left]\right),$

Wherein:

D _iand D _i+1be two adjacent regions, Distant (D _i, D _i+1) be D _iwith D _i+1between distance, h _iand h _i+1be respectively D _iand D _i+1width, R [D _i] and R [D _i+1] be respectively and be positioned at D _iand D _i+1the line at middle part;

Two independents variable in above-mentioned function BiSH () are represented, then BiSH (α, β)=max (SH (α, β), SH (α with α and β ^c, β ^c)), α ^cand β ^cbe respectively in α and β the pel representing cavity;

Two independents variable in above-mentioned function SH () are represented, then with A, B wherein,

H(A,B)＝max _a∈A(min _b∈Bdist(a,b))，H(B,A)＝max _b∈B(min _a∈Adist(b,a))；

(b a) is the distance norm between a and b to dist.

Wherein in an embodiment, step S23 comprises the following steps:

S231: the 1st region described two dimension having been marked picture is corresponding with the 1st region of described two-dimension projection;

S232: the region of searching successively in described two-dimension projection according to region putting in order in described two-dimension projection has marked region corresponding in picture in described two dimension, wherein, searches the some region TD in two-dimension projection _jcomprise below the step in region corresponding in described two dimension has marked sheet on a map:

Obtain TD in two-dimension projection _jprevious region TD _j-1region SD corresponding in figure has been marked in described two dimension _i, and obtain the described two dimension region SD of this correspondence in mark figure _ia rear region SD _i+1;

Calculate TD _jwith SD _idistance be h _j× BiSH (R [TD _j], R [SD _i]), and calculate TD _jwith SD _i+1distance be h _j× BiSH (R [TD _j], R [SD _i+1]),

Wherein, h _jfor the width of TDj, R [TD _j], R [SD _i] and R [SD _i+1] be respectively and be positioned at TD _j, SD _iand SD _i+1the line at middle part;

Get TD _iand TD _i+1in with TD _japart from little region as TD _jregion corresponding in picture has been marked in two dimension;

Wherein, the described two dimension tandem that marked the region of picture and described two-dimension projection by region the calculating that puts in order in the drawings.

Wherein in an embodiment, in step S26, a certain two dimension is marked on pel that the mark of pel in picture moves in described two-dimension projection and has comprised the following steps:

The mark of the line described two dimension marked in the region of picture moves on the line in the region of the described two-dimension projection corresponding with this region, remembers that the region that described two dimension has marked picture is SD _i, note SD _ithe quantity of the line comprised is n1, note and SD _ithe region of corresponding described two-dimension projection is TD _j, note TD _jthe quantity of the line comprised is n2,

If n2>n1, then use SD _iin each line on mark mark TD _jmiddle n2/n1 bar line,

If n2<n1, then get SD _iin n2 bar line, with on this n2 bar line mark mark TD _jin n2 bar line;

Above-mentioned line has marked putting in order in picture and two-dimension projection according to line in two dimension carried out to the mark migration of line, the mark that two dimension has marked the line be arranged in front in picture is migrated on the line that is arranged in front in corresponding two-dimension projection, wherein, a certain bar line SL in picture has been marked by two dimension _imark mark two-dimension projection in a certain bar line TL _jcomprise the following steps:

Step S261: search SL _iin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at TL _jon corresponding position by TL _jsegmentation, and search TL _jin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at SL _ion corresponding position by SL _isegmentation;

Step S262: according to non-empty line segment at SL _iand TL _jon put in order SL _ithe TL that moves to of the mark of non-space line segment _jon non-empty line segment, SL _iin the mark of non-empty line segment that is arranged in front be migrated to corresponding TL _jin on the non-empty line segment that is arranged in front.

Wherein in an embodiment, step S262 is by SL _iin the mark of a certain non-empty line segment be migrated to TL _jthe non-empty line segment of middle correspondence comprises the following steps:

Judge SL _iin this non-empty line segment and TL _jwhether the length of the non-empty line segment of middle correspondence is identical, if not, then by SL _iin this non-empty line segment stretching to TL _jthe length of the non-empty line segment of middle correspondence is identical, if so, then directly enters next step;

According to pel putting in order SL on line segment _iin the mark of pel of this non-empty line segment move to TL _jon the pel of the non-empty line segment of middle correspondence, the mark of the pel be arranged in front is migrated on the pel that is arranged in front.

Wherein in an embodiment, according to pel TP a certain in two-dimension projection described in following formulae discovery in step S27 _jbe marked with described two dimension and mark corresponding pel SP in picture _ithe confidence level C of mark correspondence _ij, note TL _jfor TP in two-dimension projection _jthe line at place, SL _ifor marking SP in picture _ithe line at place:

C _ij＝exp(-(ci+cs(i,j)+cp(i,j) ²/σ ²)

Ci is TP _jplace two-dimension projection and SP _iplace two dimension has marked the distortion alignment difference and TP between picture _jthe business of the width of place two-dimension projection;

Cs (i, j)=BiSH (TL _j, SL _i), wherein, the definition of BiSH () function is identical with the definition of above-mentioned BiSH () function;

Cp (i, j) is TP _jat TL _jin positional alignment sequence valve and SP _iat SL _iin the absolute value of difference of positional alignment sequence valve;

σ is that Gauss supports base.

Wherein in an embodiment, note V is the pel set of three-dimensional model, and the mark that described two dimension has marked pel generic in picture comprises B ₁... B _k..., B _n, n is the categorical measure that described two dimension has marked pel generic in picture;

Step S3 comprises the following steps:

Statistics pel μ is marked with the mark B of each classification _kconfidence level C (B _k, μ), k=1 ..., n;

Calculate pel μ and be marked with mark B _kprobability p (B _k| μ) be

Search the mark B making following energy function ξ reach minimum value _μ, μ ∈ V, B _μ∈ { B ₁... B _k..., B _n}:

If three-dimensional model has complete connectedness, then

$\mathrm{\&xi;}={\mathrm{\&Sigma;}}_{\mathrm{\&mu;}\&Element;V}(-\log \left(p\left(B_{\mathrm{\&mu;}}\right|\mathrm{\&mu;})\right))+\mathrm{\&omega;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_1}(-\log ({\mathrm{\&theta;}}_{\mathrm{\&mu;v}}/\mathrm{\&pi;})l_{\mathrm{\&mu;v}})$ Otherwise, $\mathrm{\&xi;}={\mathrm{\&Sigma;}}_{\mathrm{\&mu;}\&Element;V}(-\log \left(p\left(B_{\mathrm{\&mu;}}\right|\mathrm{\&mu;})\right))+\mathrm{\&omega;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_1}(-\log ({\mathrm{\&theta;}}_{\mathrm{\&mu;v}}/\mathrm{\&pi;})l_{\mathrm{\&mu;v}})+\mathrm{\&lambda;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_2}(-\log \left(d^2(\mathrm{\&mu;},v)\right)),$

Wherein, E ₁for the set on the limit that pel adjacent and connected in three-dimensional model is formed, E ₂for the set on the limit that pel adjacent in three-dimensional model is formed, μ v is the limit that in V, pel μ and v is formed, l _{μ v}for the length on the limit that pel μ and v in V is formed, θ _{μ v}for in V pel μ and v formed positive dihedral angle, d (μ, v) for the Euclidean distance of pel μ and v in V, ω and λ be preset value;

The mark found is marked on the pel of the correspondence of three-dimensional model.

A kind of three-dimensional model segmenting system, comprising:

Two-dimension projection acquisition module, for projection three-dimensional model under the first predetermined number predetermined angle, obtains the first predetermined number two-dimension projection of three-dimensional model;

Two-dimensional primitive mark and confidence level computing module, for pel mark is carried out to the first predetermined number two-dimension projection and calculate pel mark confidence level;

Three-dimensional pel labeling module, for marking according to the pel of confidence level to three-dimensional model calculated;

Segmentation module, splits three-dimensional model for the figure meta-tag according to three-dimensional model, will be noted as the figure element dividing of same mark to same parts in three-dimensional model.

Wherein in an embodiment, described pel mark and confidence level computing module comprise:

Mark picture acquisition module, two dimension for obtaining object represented by described three-dimensional model under the corresponding predetermined angle of described two-dimension projection marks picture, the described two dimension pel marked in picture has been marked with the mark of pel generic, and the quantity that the described two dimension of acquisition has marked picture is the second predetermined number;

Region dividing module, carries out Region dividing for described two-dimension projection and described two dimension have been marked picture;

Region Matching module, mates for the region region in described two-dimension projection and described two dimension marked in picture, and the region obtained in two-dimension projection has marked region corresponding in picture in described two dimension;

Difference computation module is the distance sum that described two-dimensional projection picture and described two dimension have marked corresponding region between picture for calculating described two-dimensional projection picture difference of aliging with the distortion marked between picture of described two dimension;

Mark transferring module, two dimension for obtaining the second predetermined number to have marked in picture distortion alignment difference and has marked picture by the sort two dimension of the 3rd forward predetermined number of order from small to large, and the two dimension of the 3rd predetermined number obtained has been marked the mark of pel in picture and moved on the pel in described two-dimension projection by gradation;

Confidence level computing module, is marked with for calculating each pel in two-dimension projection described in each mark migration the confidence level that two dimension has marked the mark correspondence of pel in picture.

Wherein in an embodiment, some described two-dimension projections or described two dimension have been marked the process that picture carries out Region dividing and have been by Region dividing module:

Every a line pel of X-Y scheme or each row pel are divided into an independent region, this X-Y scheme refers to described two-dimension projection or described two dimension marks picture, according to the distance between following formulae discovery adjacent area, a region is merged into by apart from minimum adjacent area, repeat the step of " according to the distance between following formulae discovery adjacent area; merge into a region by apart from minimum adjacent area ", until the region quantity comprised in X-Y scheme is not more than preset value;

$\mathrm{Dis}\tan t(D_i,D_{i+1})=\sqrt{h_i+h_{i+1}}\&times;\mathrm{BiSH}\left(R\right[D_i],R[D_{i+1}\left]\right),$

Wherein:

D _iand D _i+1be two adjacent regions, Distant (D _i, D _i+1) be D _iwith D _i+1between distance, h _iand h _i+1be respectively D _iand D _i+1width, R [D _i] and R [D _i+1] be respectively and be positioned at D _iand D _i+1the line at middle part;

Two independents variable in above-mentioned function BiSH () are represented, then with α and β α ^cand β ^cbe respectively in α and β the pel representing cavity;

Two independents variable in above-mentioned function SH () are represented, then with A, B wherein,

H(A,B)＝max _a∈A(min _b∈Bdist(a,b))，H(B,A)＝max _b∈B(min _a∈Adist(b,a))；

(b a) is the distance norm between a and b to dist.

Wherein in an embodiment, the 1st region that Region Matching module is used for described two dimension to mark picture is corresponding with the 1st region of described two-dimension projection, the region of searching successively in described two-dimension projection according to region putting in order in described two-dimension projection has marked region corresponding in picture in described two dimension, wherein, the some region TD in two-dimension projection are searched _jthe process in region corresponding in described two dimension has marked sheet on a map is:

Obtain TD in two-dimension projection _jprevious region TD _j-1region SD corresponding in figure has been marked in described two dimension _i, and obtain the described two dimension region SD of this correspondence in mark figure _ia rear region SD _i+1; Calculate TD _jwith SD _idistance be h _j× BiSH (R [TD _j], R [SD _i]), and calculate TD _jwith SD _i+1distance be h _j× BiSH (R [TD _j], R [SD _i+1]),

Wherein, h _jfor the width of TDj, R [TD _j], R [SD _i] and R [SD _i+1] be respectively and be positioned at TD _j, SD _iand SD _i+1the line at middle part;

Get TD _iand TD _i+1in with TD _japart from little region as TD _jregion corresponding in picture has been marked in two dimension;

Wherein, the described two dimension tandem that marked the region of picture and described two-dimension projection by region the calculating that puts in order in the drawings.

Wherein in an embodiment, the process that a certain two dimension has marked on pel that the mark of pel in picture moves in described two-dimension projection by mark transferring module is:

The mark of the line described two dimension marked in the region of picture moves on the line in the region of the described two-dimension projection corresponding with this region, remembers that the region that described two dimension has marked picture is SD _i, note SD _ithe quantity of the line comprised is n1, note and SD _ithe region of corresponding described two-dimension projection is TD _j, note TD _jthe quantity of the line comprised is n2,

If n2>n1, then use SD _iin each line on mark mark TD _jmiddle n2/n1 bar line,

If n2<n1, then get SD _iin n2 bar line, with on this n2 bar line mark mark TD _jin n2 bar line;

Above-mentioned line has marked putting in order in picture and two-dimension projection according to line in two dimension carried out to the mark migration of line, the mark that two dimension has marked the line be arranged in front in picture is migrated on the line that is arranged in front in corresponding two-dimension projection, wherein, a certain bar line SL in picture has been marked by two dimension _imark mark two-dimension projection in a certain bar line TL _jprocess be:

Search SL _iin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at TL _jon corresponding position by TL _jsegmentation, and search TL _jin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at SL _ion corresponding position by SL _isegmentation;

According to non-empty line segment at SL _iand TL _jon put in order SL _ithe TL that moves to of the mark of non-space line segment _jon non-empty line segment, SL _iin the mark of non-empty line segment that is arranged in front be migrated to corresponding TL _jin on the non-empty line segment that is arranged in front.

Wherein in an embodiment, mark transferring module is by SL _iin the mark of a certain non-empty line segment be migrated to TL _jprocess on the non-empty line segment of middle correspondence is:

Judge SL _iin this non-empty line segment and TL _jwhether the length of the non-empty line segment of middle correspondence is identical, if not, then by SL _iin this non-empty line segment stretching to TL _jthe length of the non-empty line segment of middle correspondence is identical, if so, then directly enters next step;

According to pel putting in order SL on line segment _iin the mark of pel of this non-empty line segment move to TL _jon the pel of the non-empty line segment of middle correspondence, the mark of the pel be arranged in front is migrated on the pel that is arranged in front.

Wherein in an embodiment, according to pel TP a certain in two-dimension projection described in following formulae discovery in confidence level computing module _jbe marked with described two dimension and mark corresponding pel SP in picture _ithe confidence level C of mark correspondence _ij, note TL _jfor TP in two-dimension projection _jthe line at place, SL _ifor marking SP in picture _ithe line at place:

C _ij＝exp(-(ci+cs(i,j)+cp(i,j) ²/σ ²)

Ci is TP _jplace two-dimension projection and SP _iplace two dimension has marked the distortion alignment difference and TP between picture _jthe business of the width of place two-dimension projection;

Cs (i, j)=BiSH (TL _j, SL _i), wherein, the definition of BiSH () function is identical with the definition of above-mentioned BiSH () function;

Cp (i, j) is TP _jat TL _jin positional alignment sequence valve and SP _iat SL _iin the absolute value of difference of positional alignment sequence valve;

σ is that Gauss supports base.

Wherein in an embodiment, note V is the pel set of three-dimensional model, and the mark that described two dimension has marked pel generic in picture comprises B ₁... B _k..., B _n, n is the categorical measure that described two dimension has marked pel generic in picture;

Three-dimensional pel labeling module is marked with the mark B of each classification for adding up pel μ _kconfidence level C (B _k, μ), k=1 ..., n,

Calculate pel μ and be marked with mark B _kprobability p (B _k| μ) be

Search the mark B making following energy function ξ reach minimum value _μ, μ ∈ V, B _μ∈ { B ₁... B _k..., B _n}:

If three-dimensional model has complete connectedness, then

$\mathrm{\&xi;}={\mathrm{\&Sigma;}}_{\mathrm{\&mu;}\&Element;V}(-\log \left(p\left(B_{\mathrm{\&mu;}}\right|\mathrm{\&mu;})\right))+\mathrm{\&omega;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_1}(-\log ({\mathrm{\&theta;}}_{\mathrm{\&mu;v}}/\mathrm{\&pi;})l_{\mathrm{\&mu;v}})$ Otherwise, $\mathrm{\&xi;}={\mathrm{\&Sigma;}}_{\mathrm{\&mu;}\&Element;V}(-\log \left(p\left(B_{\mathrm{\&mu;}}\right|\mathrm{\&mu;})\right))+\mathrm{\&omega;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_1}(-\log ({\mathrm{\&theta;}}_{\mathrm{\&mu;v}}/\mathrm{\&pi;})l_{\mathrm{\&mu;v}})+\mathrm{\&lambda;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_2}(-\log \left(d^2(\mathrm{\&mu;},v)\right)),$

Wherein, E ₁for the set on the limit that pel adjacent and connected in three-dimensional model is formed, E ₂for the set on the limit that pel adjacent in three-dimensional model is formed, μ v is the limit that in V, pel μ and v is formed, l _{μ v}for the length on the limit that pel μ and v in V is formed, θ _{μ v}for in V pel μ and v formed positive dihedral angle, d (μ, v) for the Euclidean distance of pel μ and v in V, ω and λ be preset value,

The mark found is marked on the pel of the correspondence of three-dimensional model.

Above-mentioned three-dimensional model dividing method and system, pel mark is carried out to the two-dimension projection of three-dimensional model, calculate the confidence level of pel mark, mark according to the pel of the confidence level calculated to three-dimensional model, the figure element dividing of same mark will be noted as to same parts further in three-dimensional model, can split accurately the three-dimensional model of Non-Manifold, split the parts obtained corresponding with the building block of the entity that three-dimensional model represents.And, said method and system will split the calculating of pel mark and the confidence level of being correlated be transformed into two-dimension projection to three-dimensional model, further according to splitting three-dimensional model the result of two-dimension projection, the data processing amount in three-dimensional model cutting procedure significantly can be reduced.

[accompanying drawing explanation]

Fig. 1 is the schematic flow sheet of the three-dimensional model dividing method in an embodiment;

Fig. 2 is the schematic flow sheet carrying out pel mark to the two-dimension projection under each predetermined angle in an embodiment and calculate the step of the confidence level of pel mark;

Fig. 3 is the schematic flow sheet of the step of in an embodiment, some X-Y schemes being carried out Region dividing;

Fig. 4 is the schematic flow sheet of the step S23 of Fig. 2 in an embodiment;

Fig. 5 has marked a certain bar line SL in picture by two dimension in an embodiment _imark mark two-dimension projection in a certain bar line TL _jthe schematic flow sheet of step;

Fig. 6 is the structural representation of the three-dimensional model segmenting system in an embodiment;

Fig. 7 is the structural representation of two-dimensional primitive mark and confidence level computing module in an embodiment.

[embodiment]

As shown in Figure 1, in one embodiment, a kind of three-dimensional model dividing method, comprises the following steps S1 ~ S4:

S1: projection three-dimensional model under the first predetermined number predetermined angle, obtains the first predetermined number two-dimension projection of three-dimensional model.

S2: pel mark is carried out to the first predetermined number two-dimension projection and calculate pel mark confidence level.

As shown in Figure 2, wherein, pel mark is carried out to the two-dimension projection under each predetermined angle and the step of confidence level calculating pel mark comprises the following steps S21 ~ S27:

S21: obtain the two dimension of object under described predetermined angle represented by described three-dimensional model and mark picture, the described two dimension pel marked in picture has been marked with the mark of pel generic, and the quantity that the described two dimension of acquisition has marked picture is the second predetermined number.

S22: described two-dimension projection and described two dimension have been marked picture and has carried out Region dividing.

As shown in Figure 3, in step S22, some X-Y schemes are carried out Region dividing and comprise the following steps S221 and S222, this X-Y scheme refers to described two-dimension projection or described two dimension marks picture:

S221: every a line pel of X-Y scheme or each row pel are divided into an independent region;

S222: calculate the distance between adjacent area, a region is merged into by apart from minimum adjacent area, repeat the step of " calculating the distance between adjacent area; merge into a region by apart from minimum adjacent area ", until the region quantity comprised in X-Y scheme is not more than preset value.Concrete, S222 is according to the distance between following formulae discovery adjacent area:

$\mathrm{Dis}\tan t(D_i,D_{i+1})=\sqrt{h_i+h_{i+1}}\&times;\mathrm{BiSH}\left(R\right[D_i],R[D_{i+1}\left]\right),$

Wherein:

D _iand D _i+1be two adjacent regions, Distant (D _i, D _i+1) be D _iwith D _i+1between distance, h _iand h _i+1be respectively D _iand D _i+1width, R [D _i] and R [D _i+1] be respectively and be positioned at D _iand D _i+1the line at middle part;

Two independents variable in above-mentioned function BiSH () are represented, then with α and β α ^cand β ^cbe respectively in α and β the pel representing cavity;

Two independents variable in above-mentioned function SH () are represented, then with A, B wherein,

H(A,B)＝max _a∈A(min _b∈Bdist(a,b))，H(B,A)＝max _b∈B(min _a∈Adist(b,a))；

(b a) is the distance norm between a and b to dist.

S23: the region that the region in described two-dimension projection and described two dimension have marked in picture is mated, the region obtained in two-dimension projection has marked region corresponding in picture in described two dimension;

As shown in Figure 4, step S23 comprises the following steps:

S231: the 1st region described two dimension having been marked picture is corresponding with the 1st region of described two-dimension projection;

S232: the region of searching successively in described two-dimension projection according to region putting in order in described two-dimension projection has marked region corresponding in picture in described two dimension, wherein, searches the some region TD in two-dimension projection _jcomprise below the step in region corresponding in described two dimension has marked sheet on a map:

(1) TD in two-dimension projection is obtained _jprevious region TD _j-1region SD corresponding in figure has been marked in described two dimension _i, and obtain the described two dimension region SD of this correspondence in mark figure _ia rear region SD _i+1;

(2) TD is calculated _jwith SD _idistance be h _j× BiSH (R [TD _j], R [SD _i]), and calculate TD _jwith SD _i+1distance be h _j× BiSH (R [TD _j], R [SD _i+1]),

Wherein, h _jfor TD _jwidth, R [TD _j], R [SD _i] and R [SD _i+1] be respectively and be positioned at TD _j, SD _iand SD _i+1the line at middle part;

(3) TD is got _iand TD _i+1in with TD _japart from little region as TD _jregion corresponding in picture has been marked in two dimension;

Wherein, the described two dimension tandem that marked the region of picture and described two-dimension projection by region the calculating that puts in order in the drawings.

Concrete, in one embodiment, step S23 can calculate the Region Matching matrix that described two dimension has marked the m × n of picture and described two-dimension projection, m is that described two dimension has been marked on a map the quantity in region that sheet comprises, n is the quantity in the region that described two-dimension projection comprises, the element M in Region Matching matrix _ijfor described two dimension has marked the distance in a jth region in i-th region and described two-dimension projection in picture,

M _ij＝h _j×BiSH(R[TD _j],R[SD _i])，

Wherein, SD _iand TD _jbe respectively described two dimension and marked in picture that in i-th region and described two-dimension projection a jth region, R [TD _j] and R [SD _i] be respectively and be positioned at TD _jand SD _ithe line at middle part;

Further, by M ₁₁as the point of impact, to turn left along the point of impact in Region Matching matrix or the next point of impact is searched in the lower left corner, such as, M _ijfor the point of impact, then compare M _{i (j+1)}and M _{(i+1) (j+1)}value, get wherein less one as the point of impact.All the point of impact is found at each row of Region Matching matrix.Obtain row subscript and the row subscript of matrix element corresponding to the point of impact, then in two-dimension projection, this row subscript corresponding region has marked region corresponding in picture in two dimension and has been region corresponding to this row subscript.

S24: calculating described two-dimensional projection picture difference of aliging with the distortion marked between picture of described two dimension is the distance sum that described two-dimensional projection picture and described two dimension have marked corresponding region between picture; This distance is the distance between the region of calculating in the step (2) of step S232.

S25: the two dimension obtaining the second predetermined number has marked distortion alignment difference in picture and marked picture by the sort two dimension of the 3rd forward predetermined number of order from small to large.

S26: the two dimension of the 3rd predetermined number obtained has been marked the mark of pel in picture and moved on the pel in described two-dimension projection by gradation.

In step S26, a certain two dimension is marked on pel that the mark of pel in picture moves in described two-dimension projection and comprised the following steps: the mark of the line described two dimension marked in the region of picture has moved on the line in the region of the described two-dimension projection corresponding with this region.

Concrete, remember that the region that described two dimension has marked picture is SD _i, note SD _ithe quantity of the line comprised is n1, note and SD _ithe region of corresponding described two-dimension projection is TD _j, note TD _jthe quantity of the line comprised is n2,

If n2>n1, then use SD _iin each line on mark mark TD _jmiddle n2/n1 bar line.If n2/n1 is not integer, then n2/n1 can be carried out round.

If n2<n1, then get SD _iin n2 bar line, with on this n2 bar line mark mark TD _jin n2 bar line.In one embodiment, desirable SD _iin the 1st bar of line, 1+n1/n2 bar line, 1+2n1/n2 article line mark TD _jin first, second and third line, the rest may be inferred.

Above-mentioned line has marked putting in order in picture and two-dimension projection according to line in two dimension carried out to the mark migration of line, and the mark that two dimension has marked the line be arranged in front in picture is migrated on the line that is arranged in front in corresponding two-dimension projection.As shown in Figure 5, wherein, a certain bar line SL in picture has been marked by two dimension _imark mark two-dimension projection in a certain bar line TL _jcomprise the following steps:

Step S261: search SL _iin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at TL _jon corresponding position by TL _jsegmentation, and search TL _jin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at SL _ion corresponding position by SL _isegmentation.

In advance two dimension can be marked picture and two-dimension projection is adjusted to unified size and form.Thus two dimension to have marked the length of the line in picture equal with the length of the line in two-dimension projection.Above-mentioned middle pel is at TL _jon correspondence position refer to middle pel at SL _iin arrangement position at TL _jon correspondence position.Such as, middle pel is at SL _iin arrangement position be 3, then at TL _jon arrangement position be that the place of 3 is by TL _jsegmentation.

Step S262: according to non-empty line segment at SL _iand TL _jon put in order SL _ithe TL that moves to of the mark of non-space line segment _jon non-empty line segment, SL _iin the mark of non-empty line segment that is arranged in front be migrated to corresponding TL _jin on the non-empty line segment that is arranged in front.

Concrete, by SL _iin the mark of a certain non-empty line segment be migrated to TL _jthe non-empty line segment of middle correspondence comprises the following steps:

(1) SL is judged _iin this non-empty line segment and TL _jwhether the length of the non-empty line segment of middle correspondence is identical, if not, then by SL _iin this non-empty line segment stretching to TL _jthe length of the non-empty line segment of middle correspondence is identical, if so, then directly enters next step;

(2) according to pel putting in order SL on line segment _iin the mark of pel of this non-empty line segment move to TL _jon the pel of the non-empty line segment of middle correspondence, the mark of the pel be arranged in front is migrated on the pel that is arranged in front.

S27: calculate each pel in two-dimension projection described in each mark migration and be marked with the confidence level that two dimension has marked the mark correspondence of pel in picture;

Concrete, according to pel TP a certain in two-dimension projection described in following formulae discovery in step S27 _jbe marked with described two dimension and mark corresponding pel SP in picture _ithe confidence level C of mark correspondence _ij, note TL _jfor TP in two-dimension projection _jthe line at place, SL _ifor marking SP in picture _ithe line at place:

C _ij＝exp(-(ci+cs(i,j)+cp(i,j) ²/σ ²)

Ci is TP _jplace two-dimension projection and SP _iplace two dimension has marked the distortion alignment difference and TP between picture _jthe business of the width of place two-dimension projection;

Cs (i, j)=BiSH (TL _j, SL _i), wherein, the definition of BiSH () function is identical with the definition of above-mentioned BiSH () function;

Cp (i, j) is TP _jat TL _jin positional alignment sequence valve and SP _iat SL _iin the absolute value of difference of positional alignment sequence valve;

σ is that Gauss supports base.

S3: mark according to the pel of the confidence level calculated to three-dimensional model.

Concrete, note V is the pel set of three-dimensional model, and the mark that described two dimension has marked pel generic in picture comprises B ₁... B _k..., B _n, n is the categorical measure that described two dimension has marked pel generic in picture;

Step S3 comprises the following steps,

(1) the mark B that pel μ is marked with each classification is added up _kconfidence level C (B _k, μ), k=1 ..., n.

Concrete, if pel TP in two-dimension projection in step S26 _jbe marked with two dimension and mark pel SP in picture _imark, pel TP _jpel corresponding is in the three-dimensional model μ, and pel SP _ibe labeled as B _k, then the pel TP will calculated in step S27 _jbe marked with pel SP _ithe confidence level C of mark correspondence _ijbe added to C (B _k, μ).

(2) calculate pel μ and be marked with mark B _kprobability p (B _k| μ) be

(3) the mark B making following energy function ξ reach minimum value is searched _μ, μ ∈ V, B _μ∈ { B ₁... B _k..., B _n}:

If three-dimensional model has complete connectedness, all connected between namely adjacent in three-dimensional model pel, then

$\mathrm{\&xi;}={\mathrm{\&Sigma;}}_{\mathrm{\&mu;}\&Element;V}(-\log \left(p\left(B_{\mathrm{\&mu;}}\right|\mathrm{\&mu;})\right))+\mathrm{\&omega;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_1}(-\log ({\mathrm{\&theta;}}_{\mathrm{\&mu;v}}/\mathrm{\&pi;})l_{\mathrm{\&mu;v}})$

Otherwise, $\mathrm{\&xi;}={\mathrm{\&Sigma;}}_{\mathrm{\&mu;}\&Element;V}(-\log \left(p\left(B_{\mathrm{\&mu;}}\right|\mathrm{\&mu;})\right))+\mathrm{\&omega;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_1}(-\log ({\mathrm{\&theta;}}_{\mathrm{\&mu;v}}/\mathrm{\&pi;})l_{\mathrm{\&mu;v}})+\mathrm{\&lambda;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_2}(-\log \left(d^2(\mathrm{\&mu;},v)\right)),$

Wherein, E ₁for the set on the limit that pel adjacent and connected in three-dimensional model is formed, E ₂for the set on the limit that pel adjacent in three-dimensional model is formed, μ v is the limit that in V, pel μ and v is formed, l _{μ v}for the length on the limit that pel μ and v in V is formed, θ _{μ v}for the positive dihedral angle that pel μ and v in V is formed, d (μ, v) is the Euclidean distance of pel μ and v in V;

ω and λ is preset value, ω and λ is two energy being used for equilibrium criterion energetic portions, smooth based on connectedness with the energy of the smooth based on distance affect restrictive condition.

(4) mark found is marked on the pel of correspondence of three-dimensional model.

S4: the figure meta-tag according to three-dimensional model is split three-dimensional model, will be noted as the figure element dividing of same mark to same parts in three-dimensional model.

As shown in Figure 6, in one embodiment, a kind of three-dimensional model segmenting system, comprises two-dimension projection acquisition module 10, two-dimensional primitive mark and confidence level computing module 20, three-dimensional pel labeling module 30 and segmentation module 40, wherein:

Two-dimension projection acquisition module 10, for projection three-dimensional model under the first predetermined number predetermined angle, obtains the first predetermined number two-dimension projection of three-dimensional model.

Two-dimensional primitive mark and confidence level computing module 20 for pel mark is carried out to the first predetermined number two-dimension projection and calculate pel mark confidence level.

As shown in Figure 7, two-dimensional primitive mark and confidence level computing module 20 comprise and mark picture acquisition module 210, Region dividing module 220, Region Matching module 230, difference computation module 240, mark transferring module 250 and confidence level computing module 270, wherein:

Mark picture acquisition module 210 and mark picture for obtaining the two dimension of object under described predetermined angle represented by described three-dimensional model, the described two dimension pel marked in picture has been marked with the mark of pel generic, and the quantity that the described two dimension of acquisition has marked picture is the second predetermined number.

Described two-dimension projection and described two dimension have been marked picture and have carried out Region dividing by Region dividing module 220.

Concrete, some described two-dimension projections or described two dimension have been marked the process that picture carries out Region dividing by Region dividing module 220: every a line pel of X-Y scheme or each row pel are divided into an independent region, and this X-Y scheme refers to described two-dimension projection or described two dimension marks picture; Further, calculate the distance between adjacent area, a region is merged into by apart from minimum adjacent area, repeat the step of " calculating the distance between adjacent area; merge into a region by apart from minimum adjacent area ", until the region quantity comprised in X-Y scheme is not more than preset value.Concrete, Region dividing module 220 is according to the distance between following formulae discovery adjacent area:

$\mathrm{Dis}\tan t(D_i,D_{i+1})=\sqrt{h_i+h_{i+1}}\&times;\mathrm{BiSH}\left(R\right[D_i],R[D_{i+1}\left]\right),$

Wherein:

D _iand D _i+1be two adjacent regions, Distant (D _i, D _i+1) be D _iwith D _i+1between distance, h _iand h _i+1be respectively D _iand D _i+1width, R [D _i] and R [D _i+1] be respectively and be positioned at D _iand D _i+1the line at middle part;

Two independents variable in above-mentioned function BiSH () are represented, then with α and β α ^cand β ^cbe respectively in α and β the pel representing cavity;

Two independents variable in above-mentioned function SH () are represented, then with A, B wherein,

H(A,B)＝max _a∈A(min _b∈Bdist(a,b))，H(B,A)＝max _b∈B(min _a∈Adist(b,a))；

(b a) is the distance norm between a and b to dist.

Region Matching module 230 is mated for the region region in described two-dimension projection and described two dimension marked in picture, and the region obtained in two-dimension projection has marked region corresponding in picture in described two dimension.

Concrete, Region Matching module 230 is corresponding for the 1st region in the 1st region with described two-dimension projection that described two dimension have been marked picture; Further, the region of searching successively in described two-dimension projection according to region putting in order in described two-dimension projection has marked region corresponding in picture in described two dimension, wherein, searches the some region TD in two-dimension projection _jthe process in region corresponding in described two dimension has marked sheet on a map is:

(1) TD in two-dimension projection is obtained _jprevious region TD _j-1region SD corresponding in figure has been marked in described two dimension _i, and obtain the described two dimension region SD of this correspondence in mark figure _ia rear region SD _i+1;

(2) TD is calculated _jwith SD _idistance be h _j× BiSH (R [TD _j], R [SD _i]), and calculate TD _jwith SD _i+1distance be h _j× BiSH (R [TD _j], R [SD _i+1]),

Wherein, h _jfor TD _jwidth, R [TD _j], R [SD _i] and R [SD _i+1] be respectively and be positioned at TD _j, SD _iand SD _i+1the line at middle part;

(3) TD is got _iand TD _i+1in with TD _japart from little region as TD _jregion corresponding in picture has been marked in two dimension;

Wherein, the described two dimension tandem that marked the region of picture and described two-dimension projection by region the calculating that puts in order in the drawings.

Concrete, in one embodiment, Region Matching module 230 can calculate the Region Matching matrix that described two dimension has marked the m × n of picture and described two-dimension projection, m is that described two dimension has been marked on a map the quantity in region that sheet comprises, n is the quantity in the region that described two-dimension projection comprises, the element M in Region Matching matrix _ijfor described two dimension has marked the distance in a jth region in i-th region and described two-dimension projection in picture,

M _ij＝h _j×BiSH(R[TD _j],R[SD _i])，

Wherein, SD _iand TD _jbe respectively described two dimension and marked in picture that in i-th region and described two-dimension projection a jth region, R [TD _j] and R [SD _i] be respectively and be positioned at TD _jand SD _ithe line at middle part;

Further, Region Matching module 230 can by M ₁₁as the point of impact, to turn left along the point of impact in Region Matching matrix or the next point of impact is searched in the lower left corner, such as, M _ijfor the point of impact, then compare M _{i (j+1)}and M _{(i+1) (j+1)}value, get wherein less one as the point of impact.All the point of impact is found at each row of Region Matching matrix.Obtain row subscript and the row subscript of matrix element corresponding to the point of impact, then in two-dimension projection, this row subscript corresponding region has marked region corresponding in picture in two dimension and has been region corresponding to this row subscript.

Difference computation module 240 is the distance sum that described two-dimensional projection picture and described two dimension have marked corresponding region between picture for calculating described two-dimensional projection picture difference of aliging with the distortion marked between picture of described two dimension; This distance is the distance between the region of Region Matching module 230 calculating.

Mark transferring module 250 to have marked in picture distortion alignment difference for the two dimension obtaining the second predetermined number and has marked picture by the sort two dimension of the 3rd forward predetermined number of order from small to large, further, the two dimension of the 3rd predetermined number obtained has been marked the mark of pel in picture and has moved on the pel in described two-dimension projection by gradation.

Concrete, the process that a certain two dimension has marked on pel that the mark of pel in picture moves in described two-dimension projection by mark transferring module 250 is: the mark of the line described two dimension marked in the region of picture moves on the line in the region of the described two-dimension projection corresponding with this region.

Concrete, remember that the region that described two dimension has marked picture is SD _i, note SD _ithe quantity of the line comprised is n1, note and SD _ithe region of corresponding described two-dimension projection is TD _j, note TD _jthe quantity of the line comprised is n2,

If n2>n1, then use SD _iin each line on mark mark TD _jmiddle n2/n1 bar line.If n2/n1 is not integer, then n2/n1 can be carried out round.

If n2<n1, then get SD _iin n2 bar line, with on this n2 bar line mark mark TD _jin n2 bar line.In one embodiment, desirable SD _iin the 1st bar of line, 1+n1/n2 bar line, 1+2n1/n2 article line mark TD _jin first, second and third line, the rest may be inferred.

Above-mentioned line has marked putting in order in picture and two-dimension projection according to line in two dimension carried out to the mark migration of line, and the mark that two dimension has marked the line be arranged in front in picture is migrated on the line that is arranged in front in corresponding two-dimension projection.Wherein, a certain bar line SL in picture has been marked by two dimension _imark mark two-dimension projection in a certain bar line TL _jprocess be:

(1) SL is searched _iin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at TL _jon corresponding position by TL _jsegmentation, and search TL _jin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at SL _ion corresponding position by SL _isegmentation.

In advance two dimension can be marked picture and two-dimension projection is adjusted to unified size and form.Thus two dimension to have marked the length of the line in picture equal with the length of the line in two-dimension projection.Above-mentioned middle pel is at TL _jon correspondence position refer to middle pel at SL _iin arrangement position at TL _jon correspondence position.Such as, middle pel is at SL _iin arrangement position be 3, then at TL _jon arrangement position be that the place of 3 is by TL _jsegmentation.

(2) according to non-empty line segment at SL _iand TL _jon put in order SL _ithe TL that moves to of the mark of non-space line segment _jon non-empty line segment, SL _iin the mark of non-empty line segment that is arranged in front be migrated to corresponding TL _jin on the non-empty line segment that is arranged in front.

Concrete, mark transferring module 250 is by SL _iin the mark of a certain non-empty line segment be migrated to TL _jprocess on the non-empty line segment of middle correspondence is:

(1) SL is judged _iin this non-empty line segment and TL _jwhether the length of the non-empty line segment of middle correspondence is identical, if not, then by SL _iin this non-empty line segment stretching to TL _jthe length of the non-empty line segment of middle correspondence is identical, if so, then directly enters next step;

(2) according to pel putting in order SL on line segment _iin the mark of pel of this non-empty line segment move to TL _jon the pel of the non-empty line segment of middle correspondence, the mark of the pel be arranged in front is migrated on the pel that is arranged in front.

Confidence level computing module 270 is marked with for calculating each pel in two-dimension projection described in each mark migration the confidence level that two dimension has marked the mark correspondence of pel in picture;

Concrete, confidence level computing module 270 is according to pel TP a certain in two-dimension projection described in following formulae discovery _jbe marked with described two dimension and mark corresponding pel SP in picture _ithe confidence level C of mark correspondence _ij, note TL _jfor TP in two-dimension projection _jthe line at place, SL _ifor marking SP in picture _ithe line at place:

C _ij＝exp(-(ci+cs(i,j)+cp(i,j) ²/σ ²)

Ci is TP _jplace two-dimension projection and SP _iplace two dimension has marked the distortion alignment difference and TP between picture _jthe business of the width of place two-dimension projection;

Cs (i, j)=BiSH (TL _j, SL _i), wherein, the definition of BiSH () function is identical with the definition of above-mentioned BiSH () function;

Cp (i, j) is TP _jat TL _jin positional alignment sequence valve and SP _iat SL _iin the absolute value of difference of positional alignment sequence valve;

σ is that Gauss supports base.

Three-dimensional pel labeling module 30 is for marking according to the pel of confidence level to three-dimensional model calculated.

Concrete, note V is the pel set of three-dimensional model, and the mark that described two dimension has marked pel generic in picture comprises B ₁... B _k..., B _n, n is the categorical measure that described two dimension has marked pel generic in picture;

The process that three-dimensional pel labeling module 30 marks according to the pel of the confidence level calculated to three-dimensional model is:

(1) the mark B that pel μ is marked with each classification is added up _kconfidence level C (B _k, μ), k=1 ..., n.

Concrete, if pel TP in two-dimension projection _jbe labeled the upper two dimension of transferring module 250 mark and mark pel SP in picture _imark, pel TP _jpel corresponding is in the three-dimensional model μ, and pel SP _ibe labeled as B _k, then pel TP confidence level computing module 270 calculated _jbe marked with pel SP _ithe confidence level C of mark correspondence _ijbe added to C (B _k, μ).

(2) calculate pel μ and be marked with mark B _kprobability p (B _k| μ) be

(3) the mark B making following energy function ξ reach minimum value is searched _μ, μ ∈ V, B _μ∈ { B ₁... B _k..., B _n}:

If three-dimensional model has complete connectedness, all connected between namely adjacent in three-dimensional model pel, then

$\mathrm{\&xi;}={\mathrm{\&Sigma;}}_{\mathrm{\&mu;}\&Element;V}(-\log \left(p\left(B_{\mathrm{\&mu;}}\right|\mathrm{\&mu;})\right))+\mathrm{\&omega;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_1}(-\log ({\mathrm{\&theta;}}_{\mathrm{\&mu;v}}/\mathrm{\&pi;})l_{\mathrm{\&mu;v}})$

Otherwise, $\mathrm{\&xi;}={\mathrm{\&Sigma;}}_{\mathrm{\&mu;}\&Element;V}(-\log \left(p\left(B_{\mathrm{\&mu;}}\right|\mathrm{\&mu;})\right))+\mathrm{\&omega;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_1}(-\log ({\mathrm{\&theta;}}_{\mathrm{\&mu;v}}/\mathrm{\&pi;})l_{\mathrm{\&mu;v}})+\mathrm{\&lambda;}{\mathrm{\&Sigma;}}_{\mathrm{\&mu;v}\&Element;E_2}(-\log \left(d^2(\mathrm{\&mu;},v)\right)),$

Wherein, E ₁for the set on the limit that pel adjacent and connected in three-dimensional model is formed, E ₂for the set on the limit that pel adjacent in three-dimensional model is formed, μ v is the limit that in V, pel μ and v is formed, l _{μ v}for the length on the limit that pel μ and v in V is formed, θ _{μ v}for the positive dihedral angle that pel μ and v in V is formed, d (μ, v) is the Euclidean distance of pel μ and v in V;

ω and λ is preset value, ω and λ is two energy being used for equilibrium criterion energetic portions, smooth based on connectedness with the energy of the smooth based on distance affect restrictive condition.

(4) mark found is marked on the pel of correspondence of three-dimensional model.

Segmentation module 40 is split three-dimensional model for the figure meta-tag according to three-dimensional model, will be noted as the figure element dividing of same mark to same parts in three-dimensional model.

Above-mentioned three-dimensional model dividing method and system, pel mark is carried out to the two-dimension projection of three-dimensional model, calculate the confidence level of pel mark, mark according to the pel of the confidence level calculated to three-dimensional model, the figure element dividing of same mark will be noted as to same parts further in three-dimensional model, can split accurately the three-dimensional model of Non-Manifold, split the parts obtained corresponding with the building block of the entity that three-dimensional model represents.And, said method and system will split the calculating of pel mark and the confidence level of being correlated be transformed into two-dimension projection to three-dimensional model, further according to splitting three-dimensional model the result of two-dimension projection, the data processing amount in three-dimensional model cutting procedure significantly can be reduced.

The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.

Claims (14)

1. a three-dimensional model dividing method, comprises the following steps S1 ~ S4:

S1: projection three-dimensional model under the first predetermined number predetermined angle, obtains the first predetermined number two-dimension projection of three-dimensional model;

S2: pel mark is carried out to the first predetermined number two-dimension projection and calculate pel mark confidence level;

S3: mark according to the pel of the confidence level calculated to three-dimensional model;

S4: the figure meta-tag according to three-dimensional model is split three-dimensional model, will be noted as the figure element dividing of same mark to same parts in three-dimensional model;

Wherein, in step S2, pel mark is carried out to the two-dimension projection under each predetermined angle and the step of confidence level calculating pel mark comprises the following steps S21 ~ S27:

S21: obtain the two dimension of object under described predetermined angle represented by described three-dimensional model and mark picture, the described two dimension pel marked in picture has been marked with the mark of pel generic, and the quantity that the described two dimension of acquisition has marked picture is the second predetermined number;

S22: described two-dimension projection and described two dimension have been marked picture and has carried out Region dividing;

S23: the region that the region in described two-dimension projection and described two dimension have marked in picture is mated, the region obtained in two-dimension projection has marked region corresponding in picture in described two dimension;

S24: calculating described two-dimensional projection picture difference of aliging with the distortion marked between picture of described two dimension is the distance sum that described two-dimensional projection picture and described two dimension have marked corresponding region between picture;

S25: the two dimension obtaining the second predetermined number has marked distortion alignment difference in picture and marked picture by the sort two dimension of the 3rd forward predetermined number of order from small to large;

S26: the two dimension of the 3rd predetermined number obtained has been marked the mark of pel in picture and moved on the pel in described two-dimension projection by gradation;

S27: calculate each pel in two-dimension projection described in each mark migration and be marked with the confidence level that two dimension has marked the mark correspondence of pel in picture.

2. three-dimensional model dividing method according to claim 1, is characterized in that, in step S22, some X-Y schemes is carried out Region dividing and comprises the following steps, and this X-Y scheme refers to described two-dimension projection or described two dimension marks picture:

S221: every a line pel of X-Y scheme or each row pel are divided into an independent region;

S222: according to the distance between following formulae discovery adjacent area, a region is merged into by apart from minimum adjacent area, repeat the step of " according to the distance between following formulae discovery adjacent area; merge into a region by apart from minimum adjacent area ", until the region quantity comprised in X-Y scheme is not more than preset value;

Wherein:

D _iand D _i+1be two adjacent regions, Distant (D _i, D _i+1) be D _iwith D _i+1between distance, h _iand h _i+1be respectively D _iand D _i+1width, R [D _i] and R [D _i+1] be respectively and be positioned at D _iand D _i+1the line at middle part;

Two independents variable in above-mentioned function BiSH () are represented, then BiSH (α, β)=max (SH (α, β), SH (α with α and β ^c, β ^c)), α ^cand β ^cbe respectively in α and β the pel representing cavity;

Two independents variable in above-mentioned function SH () are represented, then SH (A, B)=max (H (A, B), H (B, A)) with A, B, wherein,

H(A,B)＝max _a∈A(min _b∈Bdist(a,b))，H(B,A)＝max _b∈B(min _a∈Adist(b,a))；

(b a) is the distance norm between a and b to dist.

3. three-dimensional model dividing method according to claim 1, it is characterized in that, step S23 comprises the following steps:

S231: the 1st region described two dimension having been marked picture is corresponding with the 1st region of described two-dimension projection;

S232: the region of searching successively in described two-dimension projection according to region putting in order in described two-dimension projection has marked region corresponding in picture in described two dimension, wherein, searches the some region TD in two-dimension projection _jcomprise below the step in region corresponding in described two dimension has marked sheet on a map:

Obtain TD in two-dimension projection _jprevious region TD _j-1region SD corresponding in figure has been marked in described two dimension _i, and obtain the described two dimension region SD of this correspondence in mark figure _ia rear region SD _i+1;

Calculate TD _jwith SD _idistance be h _j× BiSH (R [TD _j], R [SD _i]), and calculate TD _jwith SD _i+1distance be h _j× BiSH (R [TD _j], R [SD _i+1]),

Wherein, h _jfor TD _jwidth, R [TD _j], R [SD _i] and R [SD _i+1] be respectively and be positioned at TD _j, SD _iand SD _i+1the line at middle part;

Get TD _iand TD _i+1in with TD _japart from little region as TD _jregion corresponding in picture has been marked in two dimension;

Wherein, the described two dimension tandem that marked the region of picture and described two-dimension projection by region the calculating that puts in order in the drawings.

4. three-dimensional model dividing method according to claim 1, is characterized in that, a certain two dimension has been marked on pel that the mark of pel in picture moves in described two-dimension projection and comprise the following steps in step S26:

The mark of the line described two dimension marked in the region of picture moves on the line in the region of the described two-dimension projection corresponding with this region, remembers that the region that described two dimension has marked picture is SD _i, note SD _ithe quantity of the line comprised is n1, note and SD _ithe region of corresponding described two-dimension projection is TD _j, note TD _jthe quantity of the line comprised is n2,

If n2>n1, then use SD _iin each line on mark mark TD _jmiddle n2/n1 bar line,

If n2<n1, then get SD _iin n2 bar line, with on this n2 bar line mark mark TD _jin n2 bar line;

Above-mentioned line has marked putting in order in picture and two-dimension projection according to line in two dimension carried out to the mark migration of line, the mark that two dimension has marked the line be arranged in front in picture is migrated on the line that is arranged in front in corresponding two-dimension projection, wherein, a certain bar line SL in picture has been marked by two dimension _imark mark two-dimension projection in a certain bar line TL _jcomprise the following steps:

Step S261: search SL _iin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at TL _jon corresponding position by TL _jsegmentation, and search TL _jin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at SL _ion corresponding position by SL _isegmentation;

Step S262: according to non-empty line segment at SL _iand TL _jon put in order SL _ithe TL that moves to of the mark of non-space line segment _jon non-empty line segment, SL _iin the mark of non-empty line segment that is arranged in front be migrated to corresponding TL _jin on the non-empty line segment that is arranged in front.

5. three-dimensional model dividing method according to claim 4, it is characterized in that, step S262 is by SL _iin the mark of a certain non-empty line segment be migrated to TL _jthe non-empty line segment of middle correspondence comprises the following steps:

Judge SL _iin this non-empty line segment and TL _jwhether the length of the non-empty line segment of middle correspondence is identical, if not, then by SL _iin this non-empty line segment stretching to TL _jthe length of the non-empty line segment of middle correspondence is identical, if so, then directly enters next step;

According to pel putting in order SL on line segment _iin the mark of pel of this non-empty line segment move to TL _jon the pel of the non-empty line segment of middle correspondence, the mark of the pel be arranged in front is migrated on the pel that is arranged in front.

6. three-dimensional model dividing method according to claim 1, is characterized in that, according to pel TP a certain in two-dimension projection described in following formulae discovery in step S27 _jbe marked with described two dimension and mark corresponding pel SP in picture _ithe confidence level C of mark correspondence _ij, note TL _jfor TP in two-dimension projection _jthe line at place, SL _ifor marking SP in picture _ithe line at place:

C _ij＝exp(-(ci+cs(i,j)+cp(i,j) ²/σ ²)

Ci is TP _jplace two-dimension projection and SP _iplace two dimension has marked the distortion alignment difference and TP between picture _jthe business of the width of place two-dimension projection;

Cs (i, j)=BiSH (TL _j, SL _i), wherein, the definition of BiSH () function is identical with the definition of above-mentioned BiSH () function;

Cp (i, j) is TP _jat TL _jin positional alignment sequence valve and SP _iat SL _iin the absolute value of difference of positional alignment sequence valve;

σ is that Gauss supports base.

7. three-dimensional model dividing method according to claim 6, is characterized in that, note V is the pel set of three-dimensional model, and the mark that described two dimension has marked pel generic in picture comprises B ₁... B _k..., B _n, n is the categorical measure that described two dimension has marked pel generic in picture;

Step S3 comprises the following steps:

Statistics pel μ is marked with the mark B of each classification _kconfidence level C (B _k, μ), k=1 ..., n;

Calculate pel μ and be marked with mark B _kprobability p (B _k| μ) be k=1 ..., n;

Search the mark B making following energy function ξ reach minimum value _μ, μ ∈ V, B _μ∈ { B ₁... B _k..., B _n}:

If three-dimensional model has complete connectedness, then

otherwise,

Wherein, E ₁for the set on the limit that pel adjacent and connected in three-dimensional model is formed, E ₂for the set on the limit that pel adjacent in three-dimensional model is formed, μ v is the limit that in V, pel μ and v is formed, l _{μ v}for the length on the limit that pel μ and v in V is formed, θ _{μ v}for in V pel μ and v formed positive dihedral angle, d (μ, v) for the Euclidean distance of pel μ and v in V, ω and λ be preset value;

The mark found is marked on the pel of the correspondence of three-dimensional model.

8. a three-dimensional model segmenting system, is characterized in that, comprising:

Two-dimension projection acquisition module, for projection three-dimensional model under the first predetermined number predetermined angle, obtains the first predetermined number two-dimension projection of three-dimensional model;

Two-dimensional primitive mark and confidence level computing module, for pel mark is carried out to the first predetermined number two-dimension projection and calculate pel mark confidence level;

Three-dimensional pel labeling module, for marking according to the pel of confidence level to three-dimensional model calculated;

Segmentation module, splits three-dimensional model for the figure meta-tag according to three-dimensional model, will be noted as the figure element dividing of same mark to same parts in three-dimensional model;

Wherein, described pel mark and confidence level computing module comprise:

Mark picture acquisition module, two dimension for obtaining object represented by described three-dimensional model under the corresponding predetermined angle of described two-dimension projection marks picture, the described two dimension pel marked in picture has been marked with the mark of pel generic, and the quantity that the described two dimension of acquisition has marked picture is the second predetermined number;

Region dividing module, carries out Region dividing for described two-dimension projection and described two dimension have been marked picture;

Region Matching module, mates for the region region in described two-dimension projection and described two dimension marked in picture, and the region obtained in two-dimension projection has marked region corresponding in picture in described two dimension;

Difference computation module is the distance sum that described two-dimensional projection picture and described two dimension have marked corresponding region between picture for calculating described two-dimensional projection picture difference of aliging with the distortion marked between picture of described two dimension;

Mark transferring module, two dimension for obtaining the second predetermined number to have marked in picture distortion alignment difference and has marked picture by the sort two dimension of the 3rd forward predetermined number of order from small to large, and the two dimension of the 3rd predetermined number obtained has been marked the mark of pel in picture and moved on the pel in described two-dimension projection by gradation;

Confidence level computing module, is marked with for calculating each pel in two-dimension projection described in each mark migration the confidence level that two dimension has marked the mark correspondence of pel in picture.

9. three-dimensional model segmenting system according to claim 8, is characterized in that, some described two-dimension projections or described two dimension have been marked the process that picture carries out Region dividing and be by Region dividing module:

Every a line pel of X-Y scheme or each row pel are divided into an independent region, this X-Y scheme refers to described two-dimension projection or described two dimension marks picture, according to the distance between following formulae discovery adjacent area, a region is merged into by apart from minimum adjacent area, repeat the step of " according to the distance between following formulae discovery adjacent area; merge into a region by apart from minimum adjacent area ", until the region quantity comprised in X-Y scheme is not more than preset value;

Wherein:

D _iand D _i+1be two adjacent regions, Distant (D _i, D _i+1) be D _iwith D _i+1between distance, h _iand h _i+1be respectively D _iand D _i+1width, R [D _i] and R [D _i+1] be respectively and be positioned at D _iand D _i+1the line at middle part;

Two independents variable in above-mentioned function BiSH () are represented, then BiSH (α, β)=max (SH (α, β), SH (α with α and β ^c, β ^c)), α ^cand β ^cbe respectively in α and β the pel representing cavity;

Two independents variable in above-mentioned function SH () are represented, then SH (A, B)=max (H (A, B), H (B, A)) with A, B, wherein,

H(A,B)＝max _a∈A(min _b∈Bdist(a,b))，H(B,A)＝max _b∈B(min _a∈Adist(b,a))；

(b a) is the distance norm between a and b to dist.

10. three-dimensional model segmenting system according to claim 8, it is characterized in that, the 1st region that Region Matching module is used for described two dimension to mark picture is corresponding with the 1st region of described two-dimension projection, the region of searching successively in described two-dimension projection according to region putting in order in described two-dimension projection has marked region corresponding in picture in described two dimension, wherein, the some region TD in two-dimension projection are searched _jthe process in region corresponding in described two dimension has marked sheet on a map is:

Obtain TD in two-dimension projection _jprevious region TD _j-1region SD corresponding in figure has been marked in described two dimension _i, and obtain the described two dimension region SD of this correspondence in mark figure _ia rear region SD _i+1; Calculate TD _jwith SD _idistance be h _j× BiSH (R [TD _j], R [SD _i]), and calculate TD _jwith SD _i+1distance be h _j× BiSH (R [TD _j], R [SD _i+1]),

Wherein, h _jfor the width of TDj, R [TD _j], R [SD _i] and R [SD _i+1] be respectively and be positioned at TD _j, SD _iand SD _i+1the line at middle part;

Get TD _iand TD _i+1in with TD _japart from little region as TD _jregion corresponding in picture has been marked in two dimension;

Wherein, the described two dimension tandem that marked the region of picture and described two-dimension projection by region the calculating that puts in order in the drawings.

11. three-dimensional model segmenting systems according to claim 8, is characterized in that, the process that a certain two dimension has marked on pel that the mark of pel in picture moves in described two-dimension projection by mark transferring module is:

The mark of the line described two dimension marked in the region of picture moves on the line in the region of the described two-dimension projection corresponding with this region, remembers that the region that described two dimension has marked picture is SD _i, note SD _ithe quantity of the line comprised is n1, note and SD _ithe region of corresponding described two-dimension projection is TD _j, note TD _jthe quantity of the line comprised is n2,

If n2>n1, then use SD _iin each line on mark mark TD _jmiddle n2/n1 bar line,

If n2<n1, then get SD _iin n2 bar line, with on this n2 bar line mark mark TD _jin n2 bar line;

Above-mentioned line has marked putting in order in picture and two-dimension projection according to line in two dimension carried out to the mark migration of line, the mark that two dimension has marked the line be arranged in front in picture is migrated on the line that is arranged in front in corresponding two-dimension projection, wherein, a certain bar line SL in picture has been marked by two dimension _imark mark two-dimension projection in a certain bar line TL _jprocess be:

Search SL _iin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at TL _jon corresponding position by TL _jsegmentation, and search TL _jin the middle pel of empty line segment folded by two non-empty line segments, at this middle pel at SL _ion corresponding position by SL _isegmentation;

According to non-empty line segment at SL _iand TL _jon put in order SL _ithe TL that moves to of the mark of non-space line segment _jon non-empty line segment, SL _iin the mark of non-empty line segment that is arranged in front be migrated to corresponding TL _jin on the non-empty line segment that is arranged in front.

12. three-dimensional model segmenting systems according to claim 11, is characterized in that, mark transferring module is by SL _iin the mark of a certain non-empty line segment be migrated to TL _jprocess on the non-empty line segment of middle correspondence is:

Judge SL _iin this non-empty line segment and TL _jwhether the length of the non-empty line segment of middle correspondence is identical, if not, then by SL _iin this non-empty line segment stretching to TL _jthe length of the non-empty line segment of middle correspondence is identical, if so, then directly enters next step;

According to pel putting in order SL on line segment _iin the mark of pel of this non-empty line segment move to TL _jon the pel of the non-empty line segment of middle correspondence, the mark of the pel be arranged in front is migrated on the pel that is arranged in front.

13. three-dimensional model segmenting systems according to claim 8, is characterized in that, according to pel TP a certain in two-dimension projection described in following formulae discovery in confidence level computing module _jbe marked with described two dimension and mark corresponding pel SP in picture _ithe confidence level C of mark correspondence _ij, note TL _jfor TP in two-dimension projection _jthe line at place, SL _ifor marking SP in picture _ithe line at place:

C _ij＝exp(-(ci+cs(i,j)+cp(i,j) ²/σ ²)

Ci is TP _jplace two-dimension projection and SP _iplace two dimension has marked the distortion alignment difference and TP between picture _jthe business of the width of place two-dimension projection;

Cs (i, j)=BiSH (TL _j, SL _i), wherein, the definition of BiSH () function is identical with the definition of above-mentioned BiSH () function;

Cp (i, j) is TP _jat TL _jin positional alignment sequence valve and SP _iat SL _iin the absolute value of difference of positional alignment sequence valve;

σ is that Gauss supports base.

14. three-dimensional model segmenting systems according to claim 13, is characterized in that, note V is the pel set of three-dimensional model, and the mark that described two dimension has marked pel generic in picture comprises B ₁... B _k..., B _n, n is the categorical measure that described two dimension has marked pel generic in picture;

Three-dimensional pel labeling module is marked with the mark B of each classification for adding up pel μ _kconfidence level C (B _k, μ), k=1 ..., n,

Calculate pel μ and be marked with mark B _kprobability p (B _k| μ) be k=1 ..., n,

Search the mark B making following energy function ξ reach minimum value _μ, μ ∈ V, B _μ∈ { B ₁... B _k..., B _n}:

If three-dimensional model has complete connectedness, then

otherwise,

Wherein, E ₁for the set on the limit that pel adjacent and connected in three-dimensional model is formed, E ₂for the set on the limit that pel adjacent in three-dimensional model is formed, μ v is the limit that in V, pel μ and v is formed, l _{μ v}for the length on the limit that pel μ and v in V is formed, θ _{μ v}for in V pel μ and v formed positive dihedral angle, d (μ, v) for the Euclidean distance of pel μ and v in V, ω and λ be preset value,

The mark found is marked on the pel of the correspondence of three-dimensional model.