CN106204714B - Video fluid illumination calculation method based on Phong model - Google Patents
Video fluid illumination calculation method based on Phong model Download PDFInfo
- Publication number
- CN106204714B CN106204714B CN201610624318.6A CN201610624318A CN106204714B CN 106204714 B CN106204714 B CN 106204714B CN 201610624318 A CN201610624318 A CN 201610624318A CN 106204714 B CN106204714 B CN 106204714B
- Authority
- CN
- China
- Prior art keywords
- fluid
- specular reflection
- component
- channel
- marked
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 239000012530 fluid Substances 0.000 title claims abstract description 91
- 238000005286 illumination Methods 0.000 title claims abstract description 54
- 238000004364 calculation method Methods 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 claims abstract description 46
- 239000002245 particle Substances 0.000 claims description 18
- 238000012360 testing method Methods 0.000 abstract description 4
- 230000000694 effects Effects 0.000 abstract description 3
- 239000004615 ingredient Substances 0.000 abstract 3
- 238000002474 experimental method Methods 0.000 abstract 1
- 238000004088 simulation Methods 0.000 description 22
- 230000002457 bidirectional effect Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005315 distribution function Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/50—Lighting effects
- G06T15/506—Illumination models
Landscapes
- Engineering & Computer Science (AREA)
- Computer Graphics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Generation (AREA)
Abstract
The invention discloses a kind of method of video fluid illumination calculation, this method is intended to, using flow surface geological information, quickly calculate Phong model illumination parameter using Phong model.Firstly, obtaining environment light and irreflexive ingredient by the method for linear fit.On this basis, flow surface geological information is updated, the mirror-reflection index of fluid scene is further obtained by the means of cluster according to environment light ingredient, diffusing reflection ingredient and flow surface geological information.Finally according to the intensity of flow surface, the specular reflection component of fluid scene is calculated.Pass through experiment test and error analysis, it was demonstrated that the method studied in the present invention is very effective.The present invention can be effectively applied in the research and application of the reverse engineering of fluid, can be obtained in emulation again with the consistent lighting effect of sample fluid appearance, overcome computationally intensive in existing fluid illumination calculation and the problems such as need user to initialize.
Description
Technical Field
The invention relates to a method for calculating illumination in video fluid re-simulation. And (3) calculating the ambient light and diffuse reflection components of the fluid scene by using a Phong model and a result of height calculation of a fluid video sample frame and using a linear fitting method, updating the height information of the fluid surface on the basis, and further obtaining the specular reflection index of the scene by using a clustering method, so that the specular reflection components of the scene can be calculated.
Background
The real fluid-sensitive weight simulation is widely applied to the fields of game design, fluid animation simulation, special effect design of movies, fluid military simulation and the like, and research on video fluid illumination calculation has achieved a lot of results. The complexity of particle motion limited to fluid scenes has led to a complication in the problem of video fluid illumination calculations, which has been the subject of much recent research. How to fully utilize the intensity in the fluid video and the geometric information of the fluid surface, and further effectively calculate the illumination parameters of the video fluid, thereby realizing the realistic drawing, which is a problem to be solved urgently in the video fluid reverse engineering.
In recent years, some research works are based on Bidirectional Reflectance Distribution Function (BRDF), torance-spark illumination model, or Phong model, but how to automatically calculate the illumination of a scene is still a difficult problem in research, and especially, the complexity of fluid motion brings difficulty to the research of the scene illumination problem.
In the research of people's illumination calculation problem of video fluid at present, the problem that exists is mainly: some works are to obtain the illumination information of the fluid scene by using an optimization method and means, such research measures are mainly inconvenient for practical application, and ideal results are difficult to obtain when the illumination of the fluid scene is calculated by using the existing methods. In the recently developed research methods, a pretreatment is required by people, which is inconvenient to solve the problem of fluid scene illumination calculation. Therefore, the method for rapidly and conveniently calculating the illumination parameters of the fluid scene still is a practical problem to be solved urgently, and particularly in the research of the reverse engineering problem of the video fluid, the calculation problem of the illumination parameters of the fluid scene is a crucial problem.
Disclosure of Invention
The invention aims to provide a video fluid illumination calculation method aiming at the defects of the prior art and the requirements of realistic re-simulation in video fluid reverse engineering.
The specific technical scheme for realizing the purpose of the invention is as follows: a method for calculating illumination of a video fluid based on Phong model, characterized in that, an RGB color model is used for the video fluid, and the color components of any pixel P in a sample frame F of the fluid video are represented as R, G and B, then according to Phong model:
wherein,andis the component of ambient light in three channels of RGBAndis an ambient light component;
andis the rate of the diffuse reflectance and,andthe intensities of diffuse reflection in three channels of RGB are respectively;is marked asIs marked asIs marked asCombined balanceAndis a diffuse reflection component;
Lmis a unit normal vector from any point in the scene to the light source direction, N is a unit normal vector from any point on the fluid surface, V is a unit vector in the line of sight direction, L is a unit vector in the line of sight directionmThe direction of an angle bisector between the V and the V is E and RmIs the unit vector of the reflected light direction at any point on the fluid surface, and V is the unit vector of the sight line direction according to V and RmThe included angle between N and E is twice of the included angle between N and E, and the use ofCalculating L in equations (1) to (3)mDot product L with Nm·N；Andis the reflection of a mirror surface, and, andα is the index of specular reflection;is marked asIs marked asIs marked asBalanceAndis a specular reflection component;
by the height h of the pixel PPInstead of R in the formulae (1) to (3)mAnd V dot product RmV, then, from (1) to (3):
the illumination parameters of the fluid scene are effectively calculated by the following steps:
(1) calculating the ambient light component and the diffuse reflection component of the Phong illumination model, specifically:
(a) constructing a set L by using all pixels satisfying the formula (7) in the fluid video sample frame F;
Dp≤TL (7)
Dpis the intensity of the pixel P, DpThe calculation is as follows:
Dp＝0.299*R+0.587*G+0.114*B (8)
t in formula (7)LIs an intensity threshold, which is calculated as TL＝(Dmax-Dmin)*2/9+Dmin,DmaxAnd DminThe maximum sum of intensities of all pixels in FA minimum value;
(b) calculating ambient light and diffuse reflectance components of the fluid scene using the set L, specifically:
for any one of the pixels Q in L, it can be obtained according to equations (4) to (6):
wherein,andis the intensity component of Q in the three RGB channels;
calculating the height h of the fluid surfaceQAnd using the information of all pixels in L for the ambient light components in (9), (10) and (11)Andand a diffuse reflection componentAndsolving by adopting a linear fitting method;
(2) updating the fluid surface height information
The ambient light component of the R channel obtained in the step (1)And a diffuse reflection componentSubstituting into equation (9), recalculate the height h of each particleQH is to beQIs marked as hR(ii) a The ambient light component of G channelAnd a diffuse reflection componentSubstituting into equation (10), recalculate the height h of each particleQH is to beQIs marked as hG(ii) a Mixing the ambient light component of the B channelAnd a diffuse reflection componentSubstituting into equation (11), recalculate each particle height hQH is to beQIs marked as hB(ii) a Finally, the height information of the particle is updated to hn＝(hR+hG+hB)/3；
(3) Specular reflection index and specular reflection component calculation
(a) Constructing a set H by using all pixels satisfying the formula (12) in the F;
Dp≥TH (12)
THis an intensity threshold, calculated as TH＝(Dmax-Dmin)*8/9+Dmin；
(b) Calculating specular reflection index and specular reflection component using H
For any two pixels P in H1And P2If P is1Is of color R1、G1And B1，P2Is of color R2、G2And B2，P1Is assumed to be h1，P2Is assumed to be h2(ii) a According to Phong illumination model:
the results α of the specular reflection index can be obtained from the R channel by equations (13) and (14)R：
Wherein
Calculating the specular reflection index of an R channel by using any pair of pixels in the H; get NRFor the pixel, then use (13), (14) and (19) to get NRCalculation results of R channelsAnd form a setNRIs a natural number, N is more than or equal to 1000RLess than or equal to 5000; clustering by adopting a k-means method to obtain the specular reflection index of the R channelSpecifically, for any pair SRAny two ofAndif so:
thenAndare grouped into the same class;andis a setU and V are serial numbers, and satisfy that U is greater than or equal to 0 and is less than or equal to NR-1，0≤V≤NR-1, while U ≠ V;a threshold value that is the difference between the specular reflection indices; finally, the mean value of all the specular reflection indexes in the class with the most collected samples is used as the average valuec represents clustering;
by the same token, the specular reflection indexes of the G channel and the B channel can be obtainedAnd
in calculating the specular reflection index of three channelsAndthen, the threshold value of the difference between the specular reflection indexes is a set value and is set to be 0.1;
finally, the specular reflection index is calculated as:
for any pixel P in F, the specular reflection component is calculated as followsAnd
from equations (4), (5) and (6):
the average value of the R-channel specular reflection components calculated for all pixels is used asAs a result, similarly, a result of obtaining a G-channel specular reflection component can be obtainedAnd the result of specular component in the B channel
(4) Application in re-simulation
In the fluid simulation, for each frame in the fluid simulation, the height h of any fluid particle is obtainedrCalculating the color component R of the particle using (25) to (27)r,GrAnd Br
By utilizing an effective method of video fluid illumination calculation, a realistic illumination result can be obtained in real time in fluid weight simulation.
The method has the characteristics of simplicity and practicality, can effectively realize the illumination calculation of the video fluid, overcomes the problems of user intervention and high complexity in the conventional illumination parameter calculation research, and further demonstrates the effectiveness of the method. The method can realize the problem of relighting in the re-simulation of the fluid scene, and the researched illumination calculation method is suitable for various fluid types including advection, sea waves and the like.
Drawings
FIG. 1 is a graph of the results of fluid scene illumination calculations according to an embodiment of the present invention;
FIG. 2 is a graph of a fluid scene relighting result, obtained by testing in a re-simulation, according to an embodiment of the present invention;
fig. 3 is a graph of a fluid scene relighting result obtained in a re-simulation boundary test according to an embodiment of the present invention.
Detailed Description
Examples
The invention is further described below with reference to the accompanying drawings.
The embodiment adopts the fluid video (for example, the fluid video such as 54ab 110) in the DynTex dynamic texture library to perform fluid scene illumination calculation. The method is implemented under the Windows7 operating system on a PC, and the hardware configuration is 2.66GHz Intel core (TM)2Duo CPU and 4GB RAM.
Video fluid illumination calculation based on Phong model is characterized in that: using the RGB color model for video streaming, representing the color components of any pixel P in a sample frame F of streaming video as R, G and B, then according to the Phong model there are: a method for calculating illumination of a video fluid based on Phong model, characterized in that, an RGB color model is used for the video fluid, and the color components of any pixel P in a sample frame F of the fluid video are represented as R, G and B, then according to Phong model:
wherein,andis the component of ambient light in three channels of RGBAndis an ambient light component;
andis the rate of the diffuse reflectance and,andthe intensities of diffuse reflection in three channels of RGB are respectively;is marked asIs marked asIs marked asCombined balanceAndis a diffuse reflection component;
Lmis a unit normal vector from any point in the scene to the light source direction, N is a unit normal vector from any point on the fluid surface, V is a unit vector in the line of sight direction, L is a unit vector in the line of sight directionmThe direction of an angle bisector between the V and the V is E and RmIs the unit vector of the reflected light direction at any point on the fluid surface, and V is the unit vector of the sight line direction according to V and RmThe included angle between N and E is twice of the included angle between N and E, and the use ofCalculating L in equations (1) to (3)mDot product L with Nm·N；Andis the reflection of a mirror surface, and, andα is the index of specular reflection;is marked asIs marked asIs marked asBalanceAndis a specular reflection component;
by the height h of the pixel PPInstead of R in the formulae (1) to (3)mAnd V dot product RmV, then, from (1) to (3):
the illumination parameters of the fluid scene are effectively calculated by the following steps:
(1) calculating the ambient light component and the diffuse reflection component of the Phong illumination model, specifically:
(a) constructing a set L by using all pixels satisfying the formula (7) in the fluid video sample frame F;
Dp≤TL (7)
Dpis the intensity of the pixel P, DpThe calculation is as follows:
Dp＝0.299*R+0.587*G+0.114*B (8)
t in formula (7)LIs an intensity threshold, which is calculated as TL＝(Dmax-Dmin)*2/9+Dmin,DmaxAnd DminThe maximum value and the minimum value of the intensities of all pixels in the F are respectively;
(b) calculating ambient light and diffuse reflectance components of the fluid scene using the set L, specifically:
for any one of the pixels Q in L, it can be obtained according to equations (4) to (6):
wherein,andis the intensity component of Q in the three RGB channels;
calculating the height h of the fluid surfaceQAnd using the information of all pixels in L for the ambient light components in (9), (10) and (11)Andand a diffuse reflection componentAndsolving by adopting a linear fitting method;
(2) updating the fluid surface height information
The ambient light component of the R channel obtained in the step (1)And a diffuse reflection componentSubstituting into equation (9), recalculate the height h of each particleQH is to beQIs marked as hR(ii) a The ambient light component of G channelAnd a diffuse reflection componentSubstituting into equation (10), recalculate the height h of each particleQH is to beQIs marked as hG(ii) a Mixing the ambient light component of the B channelAnd a diffuse reflection componentSubstituting into equation (11), recalculate each particle height hQH is to beQIs marked as hB(ii) a Finally, the height information of the particle is updated to hn＝(hR+hG+hB)/3；
(3) Specular reflection index and specular reflection component calculation
(a) Constructing a set H by using all pixels satisfying the formula (12) in the F;
Dp≥TH (12)
THis an intensity threshold, calculated as TH＝(Dmax-Dmin)*8/9+Dmin；
(b) Calculating specular reflection index and specular reflection component using H
For any two pixels P in H1And P2If P is1Is of color R1、G1And B1，P2Is of color R2、G2And B2，P1Is assumed to be h1，P2Is assumed to be h2(ii) a According to Phong illumination model:
the results α of the specular reflection index can be obtained from the R channel by equations (13) and (14)R：
Wherein
Calculating the specular reflection index of an R channel by using any pair of pixels in the H; get NRFor the pixel, then use (13), (14) and (19) to get NRCalculation results of R channelsAnd form a setNRIs a natural number, N is more than or equal to 1000RLess than or equal to 5000; clustering by adopting a k-means method to obtain the specular reflection index of the R channelSpecifically, for any pair SRAny two ofAndif so:
thenAndare grouped into the same class;andis a setU and V are serial numbers, and satisfy that U is greater than or equal to 0 and is less than or equal to NR-1，0≤V≤NR-1, while U ≠ V;a threshold value that is the difference between the specular reflection indices; finally, the mean value of all the specular reflection indexes in the class with the most collected samples is used as the average valuec represents clustering;
by the same token, the specular reflection indexes of the G channel and the B channel can be obtainedAnd
in calculating the specular reflection index of three channelsAndthen, the threshold value of the difference between the specular reflection indexes is a set value and is set to be 0.1;
finally, the specular reflection index is calculated as:
for any pixel P in F, the specular reflection component is calculated as followsAnd
from equations (4), (5) and (6):
the average value of the R-channel specular reflection components calculated for all pixels is used asAs a result, similarly, a result of obtaining a G-channel specular reflection component can be obtainedAnd the result of specular component in the B channel
(4) Application in re-simulation
In the fluid weight simulation, the 2D movement speed of the first frame of the video is calculated by using the existing method, then, the Lattice Boltzmann Methods (LBM) are initialized, and the height h of the fluid particles is calculated for each frame in the deduction process of the fluid weight simulationrCalculating the color component R of the particle using (25) to (27)r,GrAnd Br
FIG. 1 is the result of illumination calculation, where the first column is the sample frame of the original video (taking the first frame as the sample frame); the second column is the result of illumination calculation in the present invention, and the relighting intensity of the fluid surface is obtained using the calculated ambient light component, diffuse reflection component, specular reflection component, and specular reflection index. It can be seen from the illustration of fig. 1 that the video fluid illumination calculation method of the present invention is very efficient, with the recalculated illumination very close to the appearance of the sample frame.
Comparing the method of the invention with existing methods: in order to verify the effectiveness of the video fluid illumination calculation method in the invention, the method is compared with the illumination parameter calculation method of Thiago research. The errors of the illumination parameter calculation of the invention and the Thiago method are respectively calculated by adopting the following methods:
wherein N ispIs the number of pixels in the scene, Ri,GiAnd BiIs the color component of the ith pixel in the sample frame in the RGB color space,andis the illumination result recalculated according to the illumination model, i is a non-negative integer and the value range is that i is more than or equal to 0 and less than or equal to Np-1。
TABLE 1 error comparison of illumination calculations for two different methods
Table 1 shows the results of the comparative error, where the first column in the results is the name of the fluid sample; the second and third columns are the Thiago research method and the absolute error E of the invention, respectivelya(ii) a The fourth and fifth columns are the Thiago research method and the relative error E of the present invention, respectivelyr. Compared with the existing method, the error result of the method has the characteristic of obviously smaller error, no matter the absolute error EaOr relative error ErThe effectiveness of the illumination calculation method of the present invention is clearly demonstrated.
Verifying relighting in the fluid weight simulation: the method for calculating the illumination parameters provided by the invention is applied to the application of fluid weight simulation.
The 2D motion velocity of the first frame of the video is calculated by using the existing method, then the Lattice Boltzmann Methods (LBM) model is initialized, and the simulation fluid is relighted by using the method according to the height of the fluid particles of each frame in the deduction process of the fluid re-simulation, wherein fig. 2 shows the result of the relighting. As can be seen from the relighting effect in the figure, the illumination calculation method is very effective, can be applied to the fluid re-simulation process, and is convenient and practical.
The application of the illumination calculation method in the re-simulation relighting is as follows: the method is applied to the boundary test process of the fluid weight simulation, and a satisfactory illumination result is obtained. The effectiveness of the present invention can be seen in fig. 3.
Claims (1)
1. A method for calculating illumination of a video fluid based on Phong model, characterized in that, an RGB color model is used for the video fluid, and the color components of any pixel P in a sample frame F of the fluid video are represented as R, G and B, then according to Phong model:
wherein,andis the component of ambient light in three channels of RGBAndis an ambient light component;
andis the rate of the diffuse reflectance and,andthe intensities of diffuse reflection in three channels of RGB are respectively;is marked as Is marked as Is marked asCombined balanceAndis a diffuse reflection component;
Lmis a unit normal vector from any point in the scene to the light source direction, N is a unit normal vector from any point on the fluid surface, V is a unit vector in the line of sight direction, L is a unit vector in the line of sight directionmThe direction of an angle bisector between the V and the V is E and RmIs the unit vector of the reflected light direction at any point on the fluid surface, and V is the unit vector of the sight line direction according to V and RmThe included angle between N and E is twice of the included angle between N and E, and the use ofCalculating L in equations (1) to (3)mDot product L with Nm·N；Andis the reflection of a mirror surface, and, andα is the index of specular reflection;is marked as Is marked as Is marked asBalanceAndis a specular reflection component;
by the height h of the pixel PPInstead of R in the formulae (1) to (3)mAnd V dot product RmV, then, from (1) to (3):
the illumination parameters of the fluid scene are effectively calculated by the following steps:
(1) calculating the ambient light component and the diffuse reflection component of the Phong illumination model, specifically:
(a) constructing a set L by using all pixels satisfying the formula (7) in the fluid video sample frame F;
Dp≤TL (7)
Dpis the intensity of the pixel P, DpThe calculation is as follows:
Dp＝0.299*R+0.587*G+0.114*B (8)
t in formula (7)LIs an intensity threshold, which is calculated as TL＝(Dmax-Dmin)*2/9+Dmin,DmaxAnd DminThe maximum value and the minimum value of the intensities of all pixels in the F are respectively;
(b) calculating ambient light and diffuse reflectance components of the fluid scene using the set L, specifically:
for any one of the pixels Q in L, it can be obtained according to equations (4) to (6):
wherein,andis Q at RThe intensity components of the three channels of GB;
calculating the height h of the fluid surfaceQAnd using the information of all pixels in L for the ambient light components in (9), (10) and (11)Andand a diffuse reflection componentAndsolving by adopting a linear fitting method;
(2) updating the fluid surface height information
The ambient light component of the R channel obtained in the step (1)And a diffuse reflection componentSubstituting into equation (9), recalculate the height h of each particleQH is to beQIs marked as hR(ii) a The ambient light component of G channelAnd a diffuse reflection componentSubstituting into equation (10), recalculate the height h of each particleQH is to beQIs marked as hG(ii) a Mixing the ambient light component of the B channelAnd a diffuse reflection componentSubstituting into equation (11), recalculate each particle height hQH is to beQIs marked as hB(ii) a Finally, the height information of the particle is updated to hn＝(hR+hG+hB)/3；
(3) Specular reflection index and specular reflection component calculation
(a) Constructing a set H by using all pixels satisfying the formula (12) in the F;
Dp≥TH (12)
THis an intensity threshold, calculated as TH＝(Dmax-Dmin)*8/9+Dmin；
(b) Calculating specular reflection index and specular reflection component using H
For any two pixels P in H1And P2If P is1Is of color R1、G1And B1，P2Is of color R2、G2And B2，P1Is assumed to be h1，P2Is assumed to be h2(ii) a According to Phong illumination model:
the results α of the specular reflection index can be obtained from the R channel by equations (13) and (14)R：
Wherein
Calculating the specular reflection index of an R channel by using any pair of pixels in the H; get NRFor the pixel, then use (13), (14) and (19) to get NRCalculation results of R channelsAnd form a setNRIs a natural number, N is more than or equal to 1000RLess than or equal to 5000; clustering by adopting a k-means method to obtain the specular reflection index of the R channelSpecifically, for any pair SRAny two ofAndif so:
thenAndare grouped into the same class;andis a setU and V are serial numbers, and satisfy that U is greater than or equal to 0 and is less than or equal to NR-1，0≤V≤NR-1, while U ≠ V;a threshold value that is the difference between the specular reflection indices; finally, the mean value of all the specular reflection indexes in the class with the most collected samples is used as the average valuec represents clustering;
by the same token, the specular reflection indexes of the G channel and the B channel can be obtainedAnd
in calculating the specular reflection index of three channelsAndthen, the threshold value of the difference between the specular reflection indexes is a set value and is set to be 0.1;
finally, the specular reflection index is calculated as:
for any pixel P in F, the specular reflection component is calculated as followsAnd
from equations (4), (5) and (6):
the average value of the R-channel specular reflection components calculated for all pixels is used asAs a result, similarly, a result of obtaining a G-channel specular reflection component can be obtainedAnd the result of specular component in the B channel
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610624318.6A CN106204714B (en) | 2016-08-01 | 2016-08-01 | Video fluid illumination calculation method based on Phong model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610624318.6A CN106204714B (en) | 2016-08-01 | 2016-08-01 | Video fluid illumination calculation method based on Phong model |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106204714A CN106204714A (en) | 2016-12-07 |
| CN106204714B true CN106204714B (en) | 2019-02-01 |
Family
ID=57497157
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610624318.6A Expired - Fee Related CN106204714B (en) | 2016-08-01 | 2016-08-01 | Video fluid illumination calculation method based on Phong model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106204714B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112819941B (en) * | 2021-03-05 | 2023-09-12 | 网易（杭州）网络有限公司 | Method, apparatus, device and computer readable storage medium for rendering water surface |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5739820A (en) * | 1992-11-19 | 1998-04-14 | Apple Computer Inc. | Method and apparatus for specular reflection shading of computer graphic images |
| CN103413346A (en) * | 2013-04-09 | 2013-11-27 | 华东师范大学 | Method for real-time reconstruction of realistic fluid and system thereof |
| CN104517299A (en) * | 2014-12-19 | 2015-04-15 | 华东师范大学 | Method for restoring and resimulating physical video fluid driving model |
| CN105447906A (en) * | 2015-11-12 | 2016-03-30 | 浙江大学 | Method for calculating lighting parameters and carrying out relighting rendering based on image and model |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201017578A (en) * | 2008-10-29 | 2010-05-01 | Chunghwa Picture Tubes Ltd | Method for rebuilding 3D surface model |
-
2016
- 2016-08-01 CN CN201610624318.6A patent/CN106204714B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5739820A (en) * | 1992-11-19 | 1998-04-14 | Apple Computer Inc. | Method and apparatus for specular reflection shading of computer graphic images |
| CN103413346A (en) * | 2013-04-09 | 2013-11-27 | 华东师范大学 | Method for real-time reconstruction of realistic fluid and system thereof |
| CN104517299A (en) * | 2014-12-19 | 2015-04-15 | 华东师范大学 | Method for restoring and resimulating physical video fluid driving model |
| CN105447906A (en) * | 2015-11-12 | 2016-03-30 | 浙江大学 | Method for calculating lighting parameters and carrying out relighting rendering based on image and model |
Non-Patent Citations (4)
| Title |
|---|
| Fluid re-simulation based on physically driven model from video;Hongyan Quan 等;《The Visual Computer》;20150904;第33卷(第1期);85-98 |
| GENERALISED AMBIENT REFLECTION MODELS FOR LAMBERTIAN AND PHONG SURFACES;Xiaozheng Zhang 等;《ICIP 2009》;20091110;3993-3996 |
| 一种流体运动矢量计算的有效方法;全红艳,王长波;《计算机学报》;20130915;第36卷(第9期);1889-1897 |
| 真实感流体实时重建;俞铭琪 等;《计算机辅助设计与图形学学报》;20130515;第25卷(第5期);622-630 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106204714A (en) | 2016-12-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lamorlette et al. | Structural modeling of flames for a production environment | |
| Hädrich et al. | Stormscapes: Simulating cloud dynamics in the now | |
| CN103679802A (en) | Method for drawing surface of SPH (smoothed particle hydrodynamics) fluid in real time on basis of screen spaces | |
| WO2012078006A2 (en) | Image processor, lighting processor and method therefor | |
| King et al. | BSSRDF importance sampling | |
| Gutierrez et al. | Non-linear Volume Photon Mapping. | |
| Webanck et al. | Procedural cloudscapes | |
| CN103514430A (en) | Method and device for detecting flame | |
| CN101950421B (en) | Evaluation method of flame model reliability | |
| CN106204714B (en) | Video fluid illumination calculation method based on Phong model | |
| CN105139370B (en) | A kind of Real-time image fusion method based on visible ray Yu Near-infrared Double wave band camera | |
| CN106023296B (en) | Fluid scene illumination parameter computational methods | |
| CN105761295B (en) | A kind of the water surface method for reconstructing and system of data-driven | |
| Horvath et al. | COMPUTATIONAL SIMULATION OF MESOPIC VISION BASED ON CAMERA RECORDINGS. | |
| Liu et al. | Physically based animation of sandstorm | |
| Gil et al. | Soap film flow and thickness for soap bubble rendering | |
| Rushmeier | Input for participating media | |
| Yang et al. | An inverse rendering approach for heterogeneous translucent materials | |
| Liu et al. | Lighting estimation via differentiable screen-space rendering | |
| Ihrke | Reconstruction and rendering of time-varying natural phenomena | |
| Ueda et al. | Adsorptive SPH for directable bleeding simulation | |
| Rückert et al. | Qualitative visualization of butane and helium tracers in air using a digital background oriented schlieren method | |
| Djado et al. | Particle‐based drop animation on meshes in real time | |
| Yamamoto et al. | Reproducing an appearance of the objects using high bright projector | |
| Vokorokos et al. | FPGA Hardware Acceleration for Visualization with Use of the Ray Tracing Algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190201 Termination date: 20210801 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |