CN108917677B - Cubic room internal dimension measuring method and storage medium - Google Patents
Cubic room internal dimension measuring method and storage medium Download PDFInfo
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Abstract
The invention provides a cubic room internal dimension measuring method and a storage medium, wherein the method comprises the following steps: s1: recording first vector values obtained when the center of the display screen is aligned to each corner in a room respectively; s2: randomly generating a first preset number of three-dimensional arrays; s3: calculating to obtain a second vector numerical value of each corresponding corner according to each three-dimensional array by taking the center of the display screen as the origin of the three-dimensional coordinate system; s4: processing the second vector value in a unitization mode; s5: calculating unit vector deviation values of unit second vector values and first vector values corresponding to the three-dimensional arrays; s6: calculating similarity according to the unit vector deviation value corresponding to each three-dimensional array; s7: and acquiring the three-dimensional array with the highest similarity. The invention can use a simple and easy way to quickly and automatically measure and obtain the accurate size data of the cubic room through software, and has the characteristics of simple and convenient operation, different requirements satisfaction and high practicability.
Description
Technical Field
The invention relates to the technical field of house decoration, in particular to a method for measuring the internal dimension of a cubic room and a storage medium.
Background
In the room decoration effect sample plate displayed by the home decoration software, the decorated room structure model is completed by manual modeling by a designer after field measurement, and the workload in the early stage of modeling is large. If the model is directly modeled by using software without field measurement, the deviation of the model size is larger, and the decoration effect is greatly influenced. However, the current mainstream home decoration software has no function of rapidly measuring and automatically modeling a room on the spot.
Therefore, it is necessary to provide a method and a computer readable storage medium of a computer program thereof, which can be applied to home decoration software, so that a user can quickly and automatically create a 3D model corresponding to a room with a complex planar structure in a simple and easy manner.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method and the storage medium can automatically and quickly acquire accurate measurement of the internal dimension of the cubic room in a simple and easy way.
In order to solve the technical problems, the invention adopts the technical scheme that:
the cubic room internal dimension measuring method comprises the following steps:
s1: recording a first vector numerical value of each wall corner relative to the center position of the display screen, which is obtained by calculation when the center of the display screen of the handheld device is aligned to each wall corner in the cubic room;
s2: randomly generating a first preset number of three-dimensional arrays, wherein elements contained in each three-dimensional array respectively correspond to the length, width and height of the cubic room;
s3: calculating to obtain a second vector numerical value of each corresponding corner according to each three-dimensional array by taking the center of the display screen as the origin of the three-dimensional coordinate system;
s4: processing the second vector numerical value in a unitization mode to obtain a corresponding unit second vector numerical value;
s5: calculating a unit vector deviation value of a unit second vector value corresponding to each three-dimensional array and the first vector value;
s6: calculating similarity according to the unit vector deviation value corresponding to each three-dimensional array;
s7: and acquiring the three-dimensional array with the highest similarity.
The invention provides another technical scheme as follows:
a computer storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the above-mentioned method.
The invention has the beneficial effects that: in the field operation aspect, the handheld device is only needed to be respectively aligned to each wall corner in the room, the first vector numerical value of each wall corner relative to the center position of the display screen is obtained, and then the internal dimension of the corresponding cubic room can be obtained through calculation. The method can be well applied to the field of home decoration modeling, is convenient to operate and high in practicability based on the rapidly acquired room internal dimension information, can rapidly and automatically establish the 3D model of the complex corresponding room, and further provides technical support for providing previewing of the space structure, decoration effect and other effects of the corresponding cubic room.
Drawings
FIG. 1 is a schematic flow chart of a method for measuring the internal dimensions of a cubic room according to the present invention;
FIG. 2 is an indicating view of the definition of corner coordinates according to the present invention;
FIG. 3 is an indication diagram of the numerical definition of the corner vectors according to the present invention;
fig. 4 is a flowchart illustrating a method for measuring the internal dimensions of a cubic room according to a second embodiment of the present invention.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
The most key concept of the invention is as follows: the internal dimension of the corresponding cubic room can be calculated only by acquiring the first vector numerical value of each corner relative to the central position of the display screen, the implementation mode is simple and easy, and the calculation precision is relatively accurate.
Referring to fig. 1 to 3, the present invention provides a method for measuring the internal dimension of a cubic room, including:
s1: recording a first vector numerical value of each wall corner relative to the center position of the display screen, which is obtained by calculation when the center of the display screen of the handheld device is aligned to each wall corner in the cubic room;
s2: randomly generating a first preset number of three-dimensional arrays, wherein elements contained in each three-dimensional array respectively correspond to the length, width and height of the cubic room;
s3: calculating to obtain a second vector numerical value of each corresponding corner according to each three-dimensional array by taking the center of the display screen as the origin of the three-dimensional coordinate system;
s4: processing the second vector numerical value in a unitization mode to obtain a corresponding unit second vector numerical value;
s5: calculating a unit vector deviation value of a unit second vector value corresponding to each three-dimensional array and the first vector value;
s6: calculating similarity according to the unit vector deviation value corresponding to each three-dimensional array;
s7: and acquiring the three-dimensional array with the highest similarity.
From the above description, the beneficial effects of the present invention are: the room measurement result with higher precision can be calculated on site by utilizing the sensing data of the handheld device and calculating through a specific algorithm, and the room measurement result is convenient to operate and high in practicability.
Further, the method also comprises the following steps:
s8: randomly generating a second preset number of three-dimensional arrays by taking the three-dimensional array with the highest similarity as a seed according to a preset precision value;
s9: returning to execute the steps S3 to S7, wherein each three-dimensional array corresponds to each three-dimensional array number of the second preset number of three-dimensional arrays;
s10: and acquiring the three-dimensional array with the highest similarity.
According to the description, based on the three-dimensional array with the highest similarity obtained by the first calculation, the preset precision value is compared, and the same algorithm is used for calculating again to obtain more accurate size data, so that the accuracy of the measured data is optimized.
Further, the method also comprises the following steps:
and circularly executing the steps from S8 to S10 until the difference value between the acquired three-dimensional array and the three-dimensional array acquired last time is less than or equal to a preset difference value.
From the above description, it can be known that the accuracy of the measurement data is continuously optimized based on the continuous iterative computation of the same concept, thereby obtaining the relatively most accurate measurement data.
Further, the S5 specifically includes:
defining a first vector value as a (V)a1，Va2，Va3，Va4，Va5，Va6，Va7，Va8) The ith unit second vector value is bi 
According to the formula
And calculating to obtain a unit vector deviation value of the unit second vector value and the first vector value corresponding to each three-dimensional array.
As can be seen from the above description, in an embodiment, the unit vector deviation value between the unit second vector value and the unit first vector value corresponding to each three-dimensional array can be obtained through the above formula.
Further, the S6 specifically includes:
according to the formula
And calculating to obtain unit vector deviation value calculation similarity corresponding to each three-dimensional array.
As can be seen from the above description, in an embodiment, the similarity between the unit vector deviation value corresponding to each three-dimensional array and the actual size of the room can be quickly calculated through the above formula.
Further, the three-dimensional array in S2 is randomly generated according to the value range corresponding to each element in the preset three-dimensional array.
From the above description, the similarity between the randomly generated three-dimensional array and the actual size is improved by presetting the value range of the element.
The invention provides another technical scheme as follows:
a computer storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the above-mentioned method.
From the above description, the beneficial effects of the present invention are: it should be understood by those skilled in the art that all or part of the processes in the above technical solutions may be implemented by instructing the related hardware through a computer program, where the program may be stored in a computer-readable storage medium, and when executed, the program may include the processes of the above methods.
The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Example one
Referring to fig. 1 to 3, the present embodiment provides a method for measuring the internal dimensions of a cubic room.
First, in this embodiment, corresponding to the spatial position shown in fig. 1, the coordinates of 4 corners of the wall faced by the user are defined as V from top left, top right, bottom left, and bottom right, respectively1，V2，V3，V4(ii) a Defining 4 wall corner coordinates of a user back to the wall as V from the upper left, the upper right, the lower left and the lower right in sequence5，V6，V7，V8；
With the user's eye position as the origin of the three-axis coordinate system, the spatial coordinate values of the wall corner can be expressed by { x, y, z }, as shown in fig. 2.
Then V1To V8The 8 wall angle vector values representing the cubic room, namely the spatial coordinate values { x, y, z } of each wall angle, are specifically expressed as follows:
V1＝{-x，y，zup}；V2＝{x，y，zup}；
V3＝{-x，y，-zdown}；V4＝{x，y，-zdown}；
V5＝{x，-y，zup}；V6＝{-x，-y，zup}；
V7＝{x，-y，-zdown}；V8＝{-x，-y，-zdown}；
wherein, x, y, zup，zdownThe calculation formula of (a) is as follows:
x＝width÷2
y＝length÷2
zup＝height-bodyheight
zdown＝bodyheight
wherein, width in the above formula is the width of the cubic room; length is the length of the cubic room; height is the height of the cubic room and body height is the known height of the user.
Based on this, the method of the present embodiment may include the steps of:
s1: recording a first vector numerical value of each wall corner relative to the center position of the display screen, which is obtained by calculation when the center of the display screen of the handheld device is aligned to each wall corner in the cubic room;
specifically, the user aligns the center of the display screen of the handheld device to each corner in the room, clicks the mark, and the system of the handheld device calls a gyroscope interface function in the handheld device in real time to directly acquire information of a gyroscope when the user marks, so as to calculate and obtain a vector numerical value of each corner position relative to the center position of the screen of the handheld device (assuming that the center position of the screen is the eye space position of the user).
Defining the vector value of each corner position relative to the center position of the screen of the handheld device as a first vector value a (V)a1，Va2，Va3，Va4，Va5，Va6，Va7，Va8)。
S2: randomly generating a first preset number of three-dimensional arrays, wherein elements contained in each three-dimensional array respectively correspond to the length, width and height of the cubic room;
specifically, a first preset number and a value range corresponding to each of three elements contained in each three-dimensional array are respectively preset in advance; the first preset number refers to the number of the three-dimensional arrays randomly generated at this time; the three elements in each three-dimensional array respectively represent the size data of the length, the width and the height of the cubic room, and the value ranges corresponding to the elements in the three-dimensional arrays are preset, so that the digital precision of the randomly generated three-dimensional arrays is improved. Preferably, the value ranges of the three-dimensional array elements corresponding to the length, width and height random numbers are evenly distributed between 0 and 50 meters; it is preferable to randomly generate 1000 three-dimensional arrays, and the following description will be made by taking this as an example.
S3: calculating to obtain a second vector numerical value of each corresponding corner according to each three-dimensional array by taking the center of the display screen as the origin of the three-dimensional coordinate system;
specifically, according to the three-dimensional arrays randomly generated in step S2, vector values corresponding to the corners of the three-dimensional arrays are obtained by substituting the elements of each randomly generated three-dimensional array into the "concrete expression" for calculation, and are defined as second vector values bi′
i corresponds to the ith in the first preset number.
Examples are as follows: in 1000 three-dimensional arrays, data randomly generated by one three-dimensional array is as follows: (5.7, 4.2, 2.9) which represents that the cube room with random values has the length of 5.7 meters, the width of 4.2 meters and the height of 2.9 meters; meanwhile, the height of the user is known to be 1.7 m;
then, by using the formula "concrete expression" above, the values of the angular vectors of 8 groups of the cube rooms corresponding to the randomly generated three-dimensional array can be calculated as:
s4: processing the second vector numerical value in a unitization mode to obtain a corresponding unit second vector numerical value;
specifically, the second vector value b corresponding to each three-dimensional array calculated in the previous step S3 is calculatedi′
Respectively carrying out unitization treatment to obtain a second vector value b after unitizationi 
The formula for the unitized calculation is:
vector length:
unit vector: unitVectori＝{bi.x÷Length，bi.y÷Length，bi.z÷Length}；
The purpose of vector unitization is to keep the length of the vector at unit 1, while the direction of the vector remains unchanged.
S5: calculating a unit vector deviation value of a unit second vector value corresponding to each three-dimensional array and the first vector value;
specifically, the unit second vector value is bi 
That is, the unit vector of each corner of the room randomly generated and the first vector value actually calibrated in the above step S1 are a (V)a1，Va2，Va3，Va4，Va5，Va6，Va7，Va8) The direction deviation angle between the two is compared and calculated, and the unit vector deviation value calculation formula is as follows:
s6: calculating similarity according to the unit vector deviation value corresponding to each three-dimensional array;
specifically, after the deviation calculation between the 8 wall angle vectors corresponding to the respective randomly generated three-dimensional arrays and the 8 wall angles calibrated by the user is calculated in the previous step S5, the comprehensive overall deviation value obtained in this step is converted into the room similarity. If the comprehensive overall deviation value is smaller, the similarity between the room size corresponding to the three-dimensional array and the real room size is higher, the corresponding similarity value is larger and is closer to 100%, the maximum value of the similarity is 1, and the similarity represents 100%, namely the sizes are completely consistent;
the similarity calculation formula is as follows:
s7: and acquiring the three-dimensional array with the highest similarity.
According to the above calculation, the similarity calculation is performed 1000 times on the room data corresponding to the 1000 randomly generated three-dimensional arrays, then the room data with the largest similarity and closest to 1 is selected, and the data of the three-dimensional array is defined as B, so that B can be expressed as: b ═ B1, B2, B3, where B1 is the approximate room length value closest to the real room size in 1000 sets of random data, B2 is the approximate room width, and B3 is the approximate room height.
The data corresponding to the three-dimensional array obtained in the step can be used as length, width and height data corresponding to the cubic room, so that subsequent data analysis can be performed, for example, a 3D structure model of the corresponding cubic room is obtained, and the decoration effect is loaded according to the length, width and height data, so that the preview function of the decoration effect of the cubic room is realized.
Example two
Referring to fig. 4, in the present embodiment, on the basis of the first embodiment, the accuracy of the finally obtained data closest to the real room size, that is, the difference between the three-dimensional array obtained in the above step S7 and the real room size, is further optimized.
Specifically, in the method of the present embodiment, the same steps as those in the first embodiment are not repeated here, and the difference is that after S7, the method further includes the following steps:
s8: the three-dimensional array with the highest similarity obtained in the previous step is taken as a seed, and a second preset number of three-dimensional arrays are randomly generated according to a preset precision value;
specifically, the three-dimensional array B obtained in S7 ═ { B1, B2, B3} is used as a seed, and a second preset number of three-dimensional arrays are randomly generated according to the preset precision value of the corresponding size data;
assuming that the distribution density interval in the space range of 2m × 2m is close to 2m ÷ 10 ÷ 20cm according to the precision requirement, the precision value can be preset to be 20cm, that is, 0.2 m; therefore, in this step, for example, 1000 three-dimensional arrays are automatically randomly generated within 2 meters of B (i.e., the boundary is limited within 2 meters of B) with 0.2m as the interval threshold.
Specifically, B ═ { B1, B2, B3} is used as a seed to generate 1000 random data whose boundaries are limited within 2 meters around B again, and the random number generation formula is as follows:
b1＝b1+(rand()÷RANDMAX)×2；
b2＝b2+(rand()÷RANDMAX)×2；
b3＝b3+(rand()÷RANDMAX)×2。
s9: returning to execute the steps S3 to S7, wherein each three-dimensional array corresponds to each three-dimensional array number of the second preset number of three-dimensional arrays;
specifically, the newly generated 1000 three-dimensional arrays are used as a basis for calculation, that is, the three-dimensional arrays from S3 to S7 are replaced, and then calculation is performed according to the steps from S3 to S7, so that the similarity of the newly generated 1000 three-dimensional arrays corresponding to the real room size data is obtained.
S10: and acquiring the three-dimensional array with the highest similarity.
Compared with S7, the three-dimensional array with the highest similarity obtained through calculation from S8 to S10 has greatly improved accuracy and is closer to ideal accuracy because iterative calculation is carried out on the basis and the calculation result of accuracy is further limited.
In another embodiment, in order to obtain the most accurate calculation result, the above steps S8 to S10 may be executed continuously and circularly, as shown in fig. 4, that is, on the basis of each calculation result with the highest similarity obtained, the accuracy of the calculation result is gradually improved regardless of the iterative calculation until the difference between the calculation result and the previous calculation result becomes small, such as the difference is less than or equal to a preset difference, or is substantially equal for several consecutive times, such as two or three or four times.
After the measurement of the room plane structure is completed, the data can be provided for the system to realize applications such as room modeling and the like, and can also be applied to other aspects.
EXAMPLE III
In addition to the first and second embodiments, the present embodiment provides a computer storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps included in the cubic room internal dimension measurement method described in the first and/or second embodiment.
The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
In summary, the method for measuring the internal dimension of the cubic room and the storage medium provided by the invention can be used for quickly and automatically measuring the dimension data of the cubic room through software in a simple and easy way, and have the characteristic of simple and convenient operation; and the accuracy of the final measuring result can be flexibly adjusted according to the self-defined accuracy, different requirements can be better met, and the method has better practicability.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (7)
1. The cubic room internal dimension measuring method is characterized by comprising the following steps:
s1: recording a first vector numerical value of each wall corner relative to the center position of the display screen, which is obtained by calculation when the center of the display screen of the handheld device is aligned to each wall corner in the cubic room;
s2: randomly generating a first preset number of three-dimensional arrays, wherein elements contained in each three-dimensional array respectively correspond to the length, width and height of the cubic room;
s3: calculating to obtain a second vector numerical value of each corresponding corner according to each three-dimensional array by taking the center of the display screen as the origin of the three-dimensional coordinate system;
s4: processing the second vector numerical value in a unitization mode to obtain a corresponding unit second vector numerical value;
s5: calculating a unit vector deviation value of a unit second vector value corresponding to each three-dimensional array and the first vector value;
s6: calculating similarity according to the unit vector deviation value corresponding to each three-dimensional array;
s7: and acquiring the three-dimensional array with the highest similarity.
2. The cubic room interior dimension measuring method of claim 1, further comprising:
s8: randomly generating a second preset number of three-dimensional arrays by taking the three-dimensional array with the highest similarity as a seed according to a preset precision value;
s9: returning to execute the steps S3 to S7, wherein each three-dimensional array corresponds to each three-dimensional array number of the second preset number of three-dimensional arrays;
s10: and acquiring the three-dimensional array with the highest similarity.
3. A method of measuring dimensions of the interior of a cubic room as recited in claim 2, further comprising:
and circularly executing the steps from S8 to S10 until the difference value between the acquired three-dimensional array and the three-dimensional array acquired last time is less than or equal to a preset difference value.
4. The method for measuring the internal dimension of a cubic room according to claim 1, wherein the S5 is specifically:
defining a first vector value as a (V)a1，Va2，Va3，Va4，Va5，Va6，Va7，Va8) The ith unit second vector value is bi 
According to the formula
And calculating to obtain a unit vector deviation value of the unit second vector value and the first vector value corresponding to each three-dimensional array.
5. The method for measuring the internal dimension of a cubic room according to claim 4, wherein the S6 is specifically:
according to the formula
And calculating to obtain the similarity between the unit vector deviation value corresponding to each three-dimensional array and the actual size of the room.
6. The method according to claim 1, wherein the three-dimensional array in S2 is randomly generated according to the value ranges corresponding to the elements in the preset three-dimensional array.
7. A computer storage medium having a computer program stored thereon, the computer program, when being executed by a processor, performing the steps of the method of any one of claims 1 to 6.
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