JP2006051210A - Hair density predicting device, hair density predicting method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a hair density predicting device for presenting the future change in hair density for every region. <P>SOLUTION: A hair simulation device 100 is provided with a head coordinate specifying part 10, a hair density acquiring part 20, a personal information input part 30, a personal database 40, and a hair density predicting part 50. The head coordinate specifying part 10 specifies a coordinate system of the head from an image other than a hair region out of the head. The hair density acquiring part 20 acquires hair density for every region of the hair region on coordinates specified by the head coordinate specifying part 10. The personal information input part 30 inputs a personal code for specifying an individual whose hair density is predicted. The personal database 40 stores the hair density for every region acquired by the hair density acquiring part 20, in association with the personal code in time series. The hair density predicting part 50 predicts future hair density for every region based on the change in hair density for every region photographed at different times, and displays the predicted result. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a hair density prediction apparatus, a hair density prediction method, and a prolam that predict future hair density.

Conventionally, hair support services such as wigs, hair thickening, and hair growth have been provided for hair problems such as hair loss (see Non-Patent Document 1, for example).
Aderans homepage, Internet, July 20, 2004 search, <URL: http: // www. aderans. co. jp / index. html>

  In the hair care industry, there has been a problem that there is no technique for predicting how the customer's hair will change in the future and presenting it to the customer. In particular, there is a problem that it is impossible to present how the hair density for each region changes.

  In order to solve the above-mentioned problem, in the first embodiment of the present invention, the hair density prediction apparatus for predicting the future hair density is a head that specifies the coordinate system of the head from an image of the head other than the hair region. Based on the change of the hair density for each region measured at different times, the hair density acquisition unit for measuring the hair density for each region in the hair region on the coordinate system, A hair density prediction unit that predicts the hair density and displays the prediction result.

  The hair density prediction unit generates an image of the future hair region for each region according to the predicted future hair density for each region, and the image of the hair region in the current head image is generated for the future hair region. A future head image may be generated by replacing it with an image, and the future head image may be displayed.

  According to the second aspect of the present invention, a method for predicting a future hair density with an image processing apparatus specifies a coordinate system of a head from an image other than a hair region in the head, and The hair density for each region in the hair region is measured, the future hair density for each region is predicted based on the change in the hair density for each region measured at different times, and the prediction result is displayed.

  According to the third aspect of the present invention, a program for an image processing device that predicts a future hair density identifies an image processing device from a head region coordinate system from an image other than a hair region in the head. Head coordinate identification unit, hair density acquisition unit for measuring hair density for each region in the hair region on the coordinate system, future hair for each region based on changes in hair density for each region measured at different times It is made to function as a hair density prediction part which estimates a density and displays a prediction result.

  The above summary of the invention does not enumerate all the necessary features of the present invention, and sub-combinations of these feature groups can also be the invention.

  Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the invention according to the scope of claims, and all combinations of features described in the embodiments are included. It is not necessarily essential for the solution of the invention.

  FIG. 1 shows a functional configuration of the hair simulation apparatus 100. The hair simulation apparatus 100 is an example of the hair density prediction apparatus of the present invention, and an object thereof is to predict and display a future hair density for each region based on a change in hair density for each region.

  The hair simulation apparatus 100 includes a head coordinate specifying unit 10, a hair density acquisition unit 20, a personal information input unit 30, a personal database 40, and a hair density prediction unit 50. The head coordinate specifying unit 10 specifies the coordinate system of the head from an image of the head other than the hair region. The hair density acquisition unit 20 acquires the hair density for each region in the hair region on the coordinate system. The personal information input unit 30 inputs a personal code that identifies an individual who predicts the hair density. The personal database 40 stores the hair density for each region acquired by the hair density acquisition unit 20 in time series in association with the personal code. The hair density prediction unit 50 acquires the hair density for each region photographed at different times from the personal database 40, and predicts the future hair density for each region based on the past change in the acquired hair density. Display the results.

  The recording medium 60 stores a program that causes the hair simulation apparatus 100 to realize the operations of the head coordinate specifying unit 10, the hair density acquisition unit 20, the personal information input unit 30, the personal database 40, and the hair density prediction unit 50 described above. ing. These programs are stored in a recording medium such as a flexible disk, a CD-ROM, or an IC card and provided by the user. The program is read from the recording medium, installed in the hair simulation apparatus 100, and executed.

  2, 3, and 4 are diagrams illustrating a procedure in which the head coordinate specifying unit 10 specifies the coordinate system of the head image. The head coordinate specifying unit 10 images the head of the person to be measured from a plurality of angles. Then, images other than the hair region in the head, for example, parts such as eyes, nose, mouth, ears, and chin are image-recognized, and feature points that specify these positions are extracted. In the figure, + marks indicate feature points of eyes, nose, mouth, ears, and chin. The feature point designates a part with a relatively small change in position on the head surface, such as the edge and vertex of the contour for each part. If the part other than the hair region in the head is the same person, the change is small even with the passage of time. Therefore, the coordinate system of the head can be specified from the relative positions of a plurality of feature points extracted from such parts.

The head coordinate specifying unit 10 specifies the coordinate system of the head in the following procedure, for example. First, as shown in FIG. 4, a reference plane is defined by three points including an intermediate point between the eyes of both eyes and a vertex of both ears. The midpoint between the apexes of both ears is taken as the origin of the head coordinates. An axis passing through the origin and an intermediate point between the eyes of both eyes is a Y axis, and an axis orthogonal to the Y axis on the reference plane is an X axis. Thereby, every position of the head can be represented by spherical coordinates, that is, a direction (angle θ ₁ ), an elevation angle (θ ₂ ), and a distance r on the reference plane with the origin as the center. Since the head coordinate specifying unit 10 specifies the coordinate system of the head with feature points that are small in change due to secular change, coordinates coincide with each other between a plurality of head images taken at different times. Therefore, if the hair density for each region is measured based on the coordinates specified by the head coordinate specifying unit 10, it is possible to accurately measure the temporal change of the hair density in the same region.

  FIG. 5 is a diagram showing a state in which the hair region is divided into a plurality of regions. The head coordinate specifying unit 10 specifies the coordinate system by the above-described method, and then divides the hair region into a plurality of regions, for example, a plurality of mesh-like regions. Each of the meshes is uniquely specified by the above coordinates. A sequential number such as A1, A2,... May be attached to each mesh. It is desirable for the head coordinate specifying unit 10 to finely divide the mesh in regions where higher accuracy of hair density prediction is required. For example, a temple portion or a crown portion with a relatively large change in hair density in the hair region is required to have high accuracy in predicting the hair density. Therefore, it is desirable to reduce the mesh size of these parts. Thereby, the hair density of the part where the hair density is likely to change due to the change in position can be measured in detail.

  FIG. 6 shows an example in which the hair density acquisition unit 20 acquires data indicating the state of the scalp for each region. The hair density acquisition unit 20 captures a scalp image for each region, that is, for each mesh described above, in the hair region on the specified coordinate system. And the number of the hair contained in the said mesh is measured from the scalp image for every mesh. The number of hairs per mesh is an example of the hair density of the present invention.

  The hair density acquisition unit 20 further acquires a hair environment factor indicating whether the hair growth environment is good or bad from the scalp image for each mesh. For example, the hair density acquisition unit 20 calculates the average diameter of the hair in the mesh from the hair image included in the scalp image for each mesh. Further, the amount of sebum in the mesh is determined from the gloss level of the background of the scalp image for each mesh. Moreover, the infrared image for every mesh is imaged and the temperature of the scalp for every mesh is measured. In addition, the number of hairs per pore is measured from the scalp image, and the average number of hairs per pore in the same mesh is calculated. The hair density acquisition unit 20 ranks the measurement results of each hair environment factor into seven stages from a condition that promotes hair growth to a condition that adversely affects hair growth, for example, from plus 3 to minus 3. Store in database 40.

  FIG. 7 shows an example of data indicating changes in the number of hairs for each region. The personal database 40 stores the number of hairs for each region acquired by the hair density acquisition unit 20 in time series in association with the personal code. The hair density prediction unit 50 predicts the future hair density from the change in hair density for each region. For example, the hair density prediction unit 50 averages the rate of change in hair density over the past three years and calculates the rate of change over the next year. And the predicted value of the hair density of the next year is calculated | required from the latest hair density and the calculated change rate. For example, in the example of FIG. 7, the change rate of the hair density in the area A1 over the past three years is minus 1 from 2001 to 2002, and minus 3 from 2002 to 2003. is there. Accordingly, the average value of the hair density in the region A1 for the past three years is minus two. The hair density predicting unit 50 predicts the hair density of 2004 in the area A1 by adding 8 minus 10 which is the calculated change rate to 10 which is the latest hair density in the area A1. And

  FIG. 8 shows an example of the hair environment factor for each region. The personal database 40 calculates a correction value for correcting the predicted value described in FIG. 7 from the hair environment factor for each region measured and ranked by the hair density acquisition unit 20. In this case, the hair density prediction unit 50 calculates a correction value by assigning a higher weight to a hair environment factor that has a greater influence on hair growth. In the present embodiment, for example, the largest weight is given to the thickness of the hair, and the correction value calculated from various hair environment factors in the A1 region is +3.

  FIG. 9 is a graph showing changes in the hair environment factor over time. The personal database 40 of this embodiment records hair environment factors for each region in time series. The hair environment factor of the present embodiment is, for example, the amount of sebum, and is ranked in seven stages from plus 3 that promotes hair growth to minus 3 that adversely affects hair growth. The hair density prediction unit 50 calculates a correction value for correcting the future hair density from the integrated value of the sebum amount ranked. Then, instead of the example described with reference to FIG. 8, the predicted value described with reference to FIG. 7 may be corrected with the correction value.

FIG. 10 is a flowchart showing an operation procedure of the hair simulation apparatus 100. By operating according to this flowchart, the hair simulation apparatus 100 predicts a future hair density and displays a future head image based on the predicted hair density. In the following operations, it is desirable to fix the head in advance with a predetermined instrument. For example, it is desirable to fix the occipital region, the forehead, and the like with an instrument in advance, avoiding the frontal region and the top of the hair region.
FIG. 11 shows an example of a future head image generated according to the flowchart of FIG.

  First, the head coordinate specifying unit 10 captures an individual head image from a plurality of angles (S10). Next, the coordinate system of the head is specified from the image of the head other than the hair region. For example, the eyes of both eyes and the top of both ears are extracted as feature points, and the coordinate system of the head is specified by the extracted feature points. Thereby, every position of the head can be expressed in the coordinate system (S12).

  Next, the hair density acquisition unit 20 divides the hair region on the coordinate system into a mesh shape as shown in FIG. 5, and measures the number of hairs for each mesh (S14). In this case, the hair density acquisition unit 20 takes in the coordinates specified in step 12 and always recognizes which position on the coordinates is photographed. Then, an image of the scalp divided into mesh-like regions as shown in FIG. 5 is enlarged and photographed as shown in FIG. And the number of the hair contained in the said mesh is measured from the scalp image for every mesh. The personal database 40 stores the number of hairs for each region acquired by the hair density acquisition unit 20 in time series in association with the personal code.

  The hair density acquisition unit 20 further measures a hair environment factor indicating whether the hair growth environment is good or bad from the scalp image for each mesh (S16). The hair environment factors are, for example, the average diameter of hair per mesh, the amount of sebum, the temperature of the scalp, and the average number of hairs per pore in the same mesh. The method for measuring each hair environment factor is the same as the method described in FIG. The hair density acquisition unit 20 ranks the measurement results of each hair environment factor into seven stages from a condition that promotes hair growth to a condition that adversely affects hair growth, for example, from plus 3 to minus 3. Store in database 40.

  Next, the hair density prediction unit 50 predicts the future number of hairs from the secular change of the number of hairs for each region (S18). For example, the hair density prediction unit 50 acquires the measurement result of the number of hairs for each region from the personal database 40 for the past three years. Then, the rate of change in hair density over the past three years is averaged to calculate the rate of change over the next year. And the predicted value of the hair density of the next year is calculated | required from the latest hair density and the calculated change rate.

  Next, the hair density prediction unit 50 calculates a correction value for correcting the predicted value obtained in step 18 from the hair environment factor for each region (S20). In this case, the hair density prediction unit 50 calculates a correction value by assigning a higher weight to each hair environment factor that has a greater influence on hair growth. The hair density prediction unit 50 corrects the predicted value obtained in step 18 with the correction value. For example, the smaller the value of the hair environment factor, that is, the worse the hair growth environment, the smaller the predicted value obtained in step 18, that is, the lower the hair density.

  The hair density prediction unit 50 generates an image of the future hair region for each region according to the future hair density for each region corrected in step 20 (S22). Then, by replacing the image of the hair region in the current head image captured by the head coordinate specifying unit 10 with the image generated in step 22, a future head image is generated, and the generated head image is Displayed (S24). In this case, the hair density prediction unit 50 highlights and displays, for example, red, a region of the hair region where the hair density is below a predetermined threshold value. Further, the hair environment factor that causes the predicted value obtained in step 18 to be negatively displayed is displayed, and a treatment for improving the value of the hair environment factor is output. This flow is completed. According to this flow, the hair simulation apparatus 100 can predict the future hair density for each region based on the hair density for each region measured at different times and the hair growth environment.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

FIG. 1 is a block diagram showing a functional configuration of the hair simulation apparatus 100. It is a 1st figure which shows the procedure in which the head coordinate specific | specification part 10 specifies the coordinate system of a head image. It is a 2nd figure which shows the procedure in which the head coordinate specific | specification part 10 specifies the coordinate system of a head image. It is a 3rd figure which shows the procedure in which the head coordinate specific | specification part 10 specifies the coordinate system of a head image. It is a figure which shows the state which divided | segmented the hair area | region into the several area | region. It is a figure which shows the example which acquires the data which show the state of a scalp for every area | region. An example of the data which shows the change of the hair number for every area | region is shown. An example of the hair environment factor which correct | amends the future hair number for every area | region is shown. It is a graph which shows the change of a hair environment factor. 3 is a flowchart showing an operation procedure of the hair simulation apparatus 100. It is an example of the future head image which hair simulation device 100 generates.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Head coordinate specific | specification part 20 Hair density acquisition part 30 Personal information input part 40 Personal database 50 Hair density prediction part 60 Recording medium 100 Hair simulation apparatus

Claims (4)

A hair density prediction device for predicting future hair density,
A head coordinate specifying unit that specifies the coordinate system of the head from an image other than the hair region of the head; and
A hair density acquisition unit that measures the hair density for each region in the hair region on the coordinate system;
A hair density prediction apparatus comprising a hair density prediction unit that predicts a future hair density for each region based on changes in hair density for each region measured at different times and displays a prediction result.   The hair density prediction unit generates an image of the future hair region for each region according to the predicted future hair density for each region, and the image of the hair region in the current head image is the future image. The hair density prediction apparatus according to claim 1, wherein a future head image is generated by replacing with an image of a hair region, and the future head image is displayed. A method for predicting future hair density with an image processing device,
Identify the coordinate system of the head from an image of the head other than the hair region,
Measuring the hair density for each region in the hair region on the coordinate system;
A hair density prediction method for predicting a future hair density for each region based on a change in hair density for each region measured at different times and displaying a prediction result. A program for an image processing apparatus that predicts future hair density,
A head coordinate specifying unit that specifies the coordinate system of the head from an image of the head other than the hair region;
A hair density acquisition unit for measuring the hair density for each region in the hair region on the coordinate system;
A program that functions as a hair density prediction unit that predicts future hair density for each region based on changes in hair density for each region measured at different times and displays the prediction results.

Images