JP6458300B2 - Physical information acquisition device and physical information acquisition method - Google Patents

Description

  The present invention relates to a technique for acquiring information related to the shape of a human body.

  For the purpose of promoting health, devices that record the results of various measurements performed on the human body and compare the changes are generally popular. For example, the fat scale described in Patent Literature 1 records values such as body weight, body fat percentage, and BMI, and compares them with past values to notify the user of the degree of change.

  In addition to such internal information of the body, an apparatus for measuring external information such as body dimensions, shape, and distortion has been devised. For example, in the body type comparison device described in Patent Document 2, after imaging a subject using a digital camera, extracting the contour of the body of the subject, data compared with ideal body type data of the same age Is output. Thus, by presenting data on the shape of the body, it is possible to give the user a stronger motivation for health improvement.

JP 2002-177223 A JP-A-6-254077

  According to the apparatus described in Patent Document 2, data on body contours can be provided to the user by accumulating and comparing data on body contours. However, since the shape of the body is three-dimensional information, it is difficult to compare multiple measurement results, unlike information that is expressed in scalars such as weight, body fat percentage, and BMI, and that can be compared by simple calculations. is there.

  For example, in the method described in Patent Document 2, the contours of the body photographed from the front and the back are acquired, and therefore, it is not possible to compare fine undulations of the body. For example, when an image obtained by photographing the body from the side is used, it is not possible to know which part of the body has flesh, even though the degree of protrusion of the stomach can be compared.

  The present invention has been made in consideration of the above problems, and an object of the present invention is to provide a body information acquisition device capable of finely comparing the difference between the shape of the body to be analyzed and the shape of the body to be compared. To do.

  The physical information acquisition apparatus according to the present invention is an apparatus that indicates to a user how much the body shape as an analysis target has a difference from the body shape as a comparison target.

Specifically, the body information acquisition device according to the present invention is body shape data obtained by measuring a human body and representing a body shape including at least a torso part as a three-dimensional shape, Based on the first body shape data representing the shape of the body, the body shape obtaining means for obtaining the second body shape data representing the shape of the body to be compared, and the first and second body shape data, A cross-sectional shape acquisition means for acquiring a first cross-sectional shape and a second cross-sectional shape obtained by cutting the shape of the body to be analyzed and the shape of the body to be compared with predetermined cross sections, and And analyzing means for comparing the first cross-sectional shape with the second cross-sectional shape and generating difference information, which is information representing a difference in body shape.

  The body shape acquisition means is means for acquiring first body shape data representing the shape of the body to be analyzed and second body shape data representing the shape of the body to be compared. As long as the body shape data represents the shape of the body as a three-dimensional shape, the body shape data may be, for example, a three-dimensional model composed of a plurality of surfaces, or points located on the body surface in a three-dimensional space. Data (point cloud data) plotted on Further, the shape of the body to be analyzed and the shape of the body to be compared may be the same person or different persons. The body shape data does not necessarily represent only the shape of the body surface. For example, the measurement may be performed while thin clothing is worn.

The cross-sectional shape acquisition unit is a unit that sets a predetermined cut surface for each of the body shape to be analyzed and the body shape to be compared, and acquires a corresponding cross-sectional shape.
The predetermined cut surface is a surface that cuts the three-dimensional shape of the body at a site where comparison is desired. The cut surface can be, for example, a surface parallel to the ground at a position corresponding to the chest, buttocks, abdomen, and the like. The cut surface is preferably set at the same position for the analysis object and the comparison object. For example, when a cut surface is set for the abdomen to be analyzed, it is preferable that a cut surface be set for the abdomen for the comparison target as well. In addition, as long as it is beneficial to perform the comparison, the cut surface may be set in any way.

The analysis means is means for comparing the first and second cross-sectional shapes and generating difference information as a comparison result.
According to this configuration, since the comparison is performed based on the cross-sectional shape of the body, it is possible to finely compare how much the body shape is different between the analysis target and the comparison target.

  Further, the analyzing means sets a reference point corresponding to each of the first and second cross-sectional shapes, and the first cross-sectional shape and the second cross-sectional shape are set based on the reference point. Comparison may be performed to generate difference information that is information representing a difference in body shape.

  By setting a reference point that is a reference point for comparison with respect to the cross-sectional shape, a highly accurate comparison can be performed. Since the human body shape changes in the direction from the center point of the body toward the outside, the reference point is preferably set at the center point of the body, but the position is not particularly limited.

  Further, the analysis means calculates a distance from the reference point to the body surface for each of the first cross-sectional shape and the second cross-sectional shape, and calculates the difference information based on a result of comparing the distances. It is good also as generating.

  By acquiring the distance from the reference point to the body surface and comparing how the distance differs between the analysis target and the comparison target, the difference in shape can be expressed quantitatively.

  The physical information acquisition apparatus according to the present invention further includes an area dividing unit that divides the first and second cross-sectional shapes radially at a predetermined angle around the reference point. , Among the divided areas, the area corresponding to the first cross-sectional shape and the area corresponding to the second cross-sectional shape are associated, and based on the result of comparing the corresponding areas, respectively, The difference information may be generated.

  By doing in this way, it becomes possible to assign a comparison result for each orientation around the reference point, so that the user can more intuitively recognize the difference in shape.

Further, the analysis means may compare the lengths of the portions corresponding to the body surface among the outlines surrounding the divided regions, and generate the difference information based on the comparison result. Good.
The analyzing unit may compare the areas of the divided regions and generate the difference information based on the comparison result.

  Of the outline surrounding the region, the length of the portion corresponding to the body surface becomes longer as the body surface protrudes. Similarly, the area of the divided region increases as the body surface protrudes. Therefore, the difference in shape can be quantitatively expressed by comparing the length of the part corresponding to the body surface or the area of the divided region.

Further, the predetermined angle may be an angle at which the areas of the divided regions are the same, and the predetermined angle may be an equal angle.
The predetermined angle may be a value proportional to the reciprocal of the length from the reference point to the body surface in the vicinity of the region to be divided.

Thus, it becomes easy to grasp a small difference by dividing the region by an appropriate method.
In particular, when the angle is set based on the reciprocal of the length from the reference point to the body surface, the longer the length from the reference point to the body surface, the smaller the angle at which the division is performed. That is, as the body surface protrudes, the shape difference can be expressed more finely.

  Further, the physical information acquisition device according to the present invention is based on the first and second body shape data or based on an input operation from the user, and the shape of the body to be analyzed and the shape of the body to be compared A height setting means for setting a height for performing the comparison, and the cross-sectional shape acquisition means uses a cut surface obtained at the height set by the height setting means as the predetermined cut surface This may be a feature.

  By doing in this way, a cut surface can be set to the corresponding height position.

  The physical information acquisition apparatus according to the present invention may further include image generation means for generating an image representing the difference information.

  In this way, by generating an image representing the comparison result, that is, an image representing how much the cross-sectional shape is different, it is easy to understand how much difference is seen in the body shape. be able to.

  Further, the image generation unit generates an image in which the first cross-sectional shape and the second cross-sectional shape are overlapped on the basis of the reference point, and at least one of the first cross-sectional shape and the second cross-sectional shape. In addition, the difference information may be reflected.

  An image in which each cross-sectional shape is superimposed is generated, and the difference information is reflected in any cross-sectional shape, so that a user who has seen the image can know the difference in shape more intuitively.

Moreover, the physical information acquisition apparatus according to the second aspect of the present invention is
Body shape data obtained by measuring a human body and representing the shape of the body including at least the torso as a three-dimensional shape, and the first body shape data representing the shape of the body to be analyzed and the comparison target Body shape acquisition means for acquiring second body shape data representing the shape of the body, and based on the first and second body shape data, the shape of the body to be analyzed and the body of the comparison target A three-dimensional shape obtaining means for obtaining a first three-dimensional shape and a second three-dimensional shape obtained by cutting out two parallel cut surfaces, and the first three-dimensional shape and the second three-dimensional shape And analyzing means for generating difference information, which is information representing a difference in body shape.

  As described above, the difference information may be generated not by comparing the cross-sectional shapes but by comparing the solid shapes obtained by adding thickness to the cross-sectional shapes.

In addition, the physical information acquisition device according to the third aspect of the present invention,
Body shape data obtained by measuring a human body and representing the shape of the body including at least the torso as a three-dimensional shape, and the first body shape data representing the shape of the body to be analyzed and the comparison target Body shape acquisition means for acquiring second body shape data representing the shape of the body, and based on the first and second body shape data, the shape of the body to be analyzed and the body of the comparison target Cross-sectional shape acquisition means for acquiring a first cross-sectional shape and a second cross-sectional shape obtained by cutting each shape with a predetermined cut surface, and the first cross-sectional shape and the second cross-sectional shape are overlapped Image generating means for generating a combined image.

  In this way, only an image in which the first cross-sectional shape and the second cross-sectional shape are superimposed may be generated. Even with such a configuration, the user who has seen the image can intuitively recognize how much the shape is different.

In addition, this invention can be specified as a physical information acquisition apparatus containing at least one part of the said means. The physical information acquisition method performed by the physical information acquisition device or a program for operating the physical information acquisition device can also be specified.
The above processes and means can be freely combined and implemented as long as no technical contradiction occurs.

  ADVANTAGE OF THE INVENTION According to this invention, the difference of the shape of the body which is analysis object and the shape of the body which is comparison object can be compared finely.

It is a system configuration figure of the physical information acquisition device concerning a first embodiment. It is a figure explaining the position of the cut surface for acquiring cross-sectional shape. It is a figure which illustrates the cross-sectional shape of an analysis object, and the cross-sectional shape of a comparison object. It is a figure explaining the comparison method of cross-sectional shapes in 1st embodiment. It is a process flowchart of the physical information acquisition apparatus in 1st embodiment. It is a process flowchart of the physical information acquisition apparatus in 2nd embodiment. It is a figure explaining the division method of a section shape in a second embodiment. It is a figure explaining the division | segmentation method of cross-sectional shape in 5th embodiment. It is a flowchart explaining the division | segmentation process of a cross-sectional shape in 5th embodiment.

(First embodiment)
<System configuration>
Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.
The physical information acquisition device according to the first embodiment acquires three-dimensional data representing the shape of a body to be analyzed and three-dimensional data representing the shape of a body to be compared, and displays an image representing a difference in body shape. It is a device to generate. FIG. 1 is a system configuration diagram of a physical information acquisition apparatus 10 according to the present embodiment.

  The body information acquisition apparatus 10 includes a body shape acquisition unit 11, a cross-sectional shape acquisition unit 12, an analysis unit 13, an image generation unit 14, and an input / output unit 15.

The body shape acquisition unit 11 is means for acquiring body shape data, which is data representing the shape of the target body as a three-dimensional shape.
As the body shape data, data in any format may be used as long as it can represent the three-dimensional shape of a human body. For example, it may be polygon data in which information on a plurality of polygons (such as vertex coordinates and normal vectors of polygons) constituting the body outer surface is described, or the coordinates of a plurality of points on the body outer surface are It may be point cloud data described. In this embodiment, as shown in FIG. 2, the Z axis (forward is +) in the front-rear direction, the X axis (+ on the left) in the left and right directions, and the Y axis (upward is in the upper and lower directions). Using a three-dimensional coordinate system taking (+), body shape data composed of point group data describing three-dimensional coordinates (XYZ coordinates) of a plurality of points on the external surface of the body is used.

  The body shape acquisition unit 11 may directly acquire body shape data from a measuring device that measures the three-dimensional shape of the subject's body, or the body shape from a storage device or a server on the network (for example, a cloud server or network storage). Shape data may be acquired.

  As a measuring device, for example, an active triangulation type non-contact three-dimensional scanner can be preferably used. The active triangulation method is to project a predetermined pattern light from the projector onto the surface of the measurement target (human body), photograph the pattern on the measurement target surface with the camera, and use the obtained image for the projector, camera, and measurement target. This is a method for calculating the three-dimensional shape of the surface to be measured by estimating the positional relationship between points on the surface. There are a spatial encoding method and a temporal encoding method depending on the pattern light projection method. Either method may be used, or a combination of the two may be used. When measuring the shape of the body, the shape of the body surface may be measured in the naked state, or the measurement should be performed while wearing clothing such as underwear (preferably clothing that is thin and fits the body). Also good.

  The body shape data acquired by the body shape acquisition unit 11 may be whole body data or partial body data. In the present embodiment, since the three-dimensional shape data of the trunk part (trunk part) is used, it is only necessary to include at least the trunk part data. For example, data of only the torso part, data of only the upper body, or data including part or all of the upper limbs and lower limbs may be used.

In addition, the body shape acquisition unit 11 acquires two types of data: body shape data corresponding to the body to be analyzed and body shape data corresponding to the body to be compared. The comparison target is, for example, body shape data obtained by measuring the same person as the analysis target, and obtained by performing measurement at different timings. In this case, it is possible to analyze a change in body shape with the passage of time. Further, the comparison target may be body shape data obtained by measuring a person different from the analysis target or body shape data representing an ideal body shape.
Moreover, the body shape acquisition part 11 has a function which memorize | stores and reads the body shape data acquired from the measurement means. For example, body shape data measured in the past may be stored in a fixed disk drive or flash memory, and read as necessary.
The body shape acquisition unit 11 transmits the acquired two types of body shape data (analysis target and comparison target) to the cross-sectional shape acquisition unit 12 described later. Hereinafter, the body shape data corresponding to the comparison target body is referred to as first body shape data, and the body shape data corresponding to the analysis target body is referred to as second body shape data.

The cross-sectional shape acquisition unit 12 is means for slicing the body shape represented by the body shape data acquired by the body shape acquisition unit 11 with a predetermined cut surface and acquiring the cross-sectional shape. FIG. 2 is a diagram showing the position of the cut surface for slicing. The cutting plane is a plane parallel to the XZ plane, and is set at a height position that the user of the apparatus desires to compare. In the example of FIG. 2, the positions corresponding to the bust (reference 21 </ b> A), the waist (reference 21 </ b> B), and the hips (reference 21 </ b> C) are illustrated, but the cut surface may be set to other positions. Note that the height of the cut surface may be designated by the user through the input / output unit 15 each time, or the designated position may be automatically detected and set. For example, data (height, age, sex, etc.) related to the measurement subject may be acquired, and positions corresponding to the abdomen, chest, buttocks, etc. may be automatically set based on a preset ratio.

The cross-sectional shape acquisition unit 12 sets a cut surface at the same corresponding position for both the acquired first body shape data and the second body shape data, and acquires the cross-sectional shape. The corresponding same position does not necessarily have to be the same height as long as the method for determining at least the height of the cut surface is the same. For example, when the cut surface is set to the bust position, a method is adopted in which a point positioned most forward in the Z-axis direction is determined, and the height of the point is set to the bust position. What is necessary is just to set a cut surface to the height calculated | required by the said method with respect to each of 2 body shape data.
Hereinafter, the cross-sectional shape corresponding to the first body shape data is referred to as a first cross-sectional shape, and the cross-sectional shape corresponding to the second body shape data is referred to as a second cross-sectional shape. FIG. 3 is an example of the cross-sectional shape acquired by the cross-sectional shape acquisition unit 12, and is a cross-sectional shape corresponding to the abdomen. The first cross-sectional shape and the second cross-sectional shape are transmitted to the analysis unit 13.

The analysis unit 13 compares both based on the cross-sectional shape acquired by the cross-sectional shape acquisition unit 12, and indicates the comparison result, that is, information indicating how much the cross-sectional shapes are different (difference information in the present invention). Is a means for generating
The image generation unit 14 is a unit that generates an image representing the comparison result. A method for performing the comparison based on the cross-sectional shape and a method for reflecting the comparison result in the image will be described later.

  The input / output unit 15 is a unit that receives an input operation performed by the user and presents information to the user. Specifically, it comprises a touch panel and its control means, a liquid crystal display and its control means. In the present embodiment, the touch panel and the liquid crystal display are composed of one touch panel display.

  The physical information acquisition device 10 is a computer having a CPU (Central Processing Unit), a RAM (Random Access Memory), an auxiliary storage device (for example, a flash memory, a hard disk), an input device (for example, a mouse, a touch panel), a display device, and the like. Can be configured. Each function described above is realized by loading a program stored in the auxiliary storage device into the RAM and executing it by the CPU. Examples of this type of computer include a personal computer, a smartphone, a tablet terminal, a mobile phone, and a game machine. A part or all of the above-described functions may be realized by an FPGA (Field Programmable Gate Array), an ASIC (Application Specific Integrated Circuit), or the like, or may be processed by another computer (for example, a cloud server).

<Method for comparing cross-sectional shapes>
Next, a method for comparing cross-sectional shapes performed by the analysis unit 13 will be described with reference to FIG. In 1st embodiment, the analysis part 13 and the image generation part 14 compare each cross-sectional shape by performing each step demonstrated below, and produce | generate the image in which the comparison result was reflected.

(1) Setting a reference point First, the analysis unit 13 sets a reference point in the first cross-sectional shape and the second cross-sectional shape. In the present embodiment, a contour having a cross-sectional shape is acquired and the center of gravity obtained from the contour is used as a reference point. Reference numeral 401A shown in FIG. 4 is a reference point in the first cross-sectional shape, and reference numeral 401B is a reference point in the second cross-sectional shape.

(2) Calculating the distance to the body surface Next, the analysis unit 13 calculates the first cross-sectional shape and the second cross-sectional shape from the reference point to the body surface (that is, up to the contour of the cross-sectional shape). Calculate the distance. The calculation is performed for each pixel located on the outline of the cross-sectional shape. For example, a distance of 100 points is calculated for the pixel 402A on the contour line corresponding to the first cross-sectional shape, and a distance of 200 points is calculated for the pixel 403A. In the description of the embodiment, the distance is represented by a virtual unit (point).
A similar process is performed for pixels on the second cross-sectional shape. For example, a distance of 130 points is calculated for the pixel 402B on the contour line corresponding to the second cross-sectional shape, and a distance of 215 points is calculated for the pixel 403B.
By performing such processing, the distance is assigned to all the pixels on the contour line of each cross-sectional shape.

(3) Obtaining the Difference in Distance Next, the analysis unit 13 sets a line extending from the reference point in the direction of the angle θ, and obtains the distance assigned to the pixel at the point that intersects the contour. Here, it is assumed that the direction parallel to the positive direction of the Z-axis is 0 degree and the angle is given clockwise. Moreover, the same process is performed about each of 1st cross-sectional shape and 2nd cross-sectional shape, and the difference of the acquired distance is calculated. For example, when θ = 0 °, the difference in distance is 130-100 = 30 points, and when θ = 90 °, the difference in distance is 215-200 = 15 points.
The analysis unit 13 acquires the difference in distance 360 times while changing the angle θ from 0 to 359 degrees by 1 degree.
By performing such processing, the distance difference value is calculated for all directions centered on the reference point. Hereinafter, in the description of the present embodiment, the distance difference value acquired here is simply referred to as a difference value.

  In addition, you may perform correction | amendment which rotates a cross-sectional shape centering | focusing on a reference point. When the angle is shifted between the first cross-sectional shape and the second cross-sectional shape, the calculation accuracy of the difference value can be improved by correcting this.

(4) Generating an image in which the difference value is reflected Next, the image generation unit 14 generates an image in which the calculated difference value is reflected. In the present embodiment, in the second cross-sectional shape, a line extending from the reference point in the direction of the angle θ is drawn, a difference value corresponding to the angle is assigned to a pixel at a point intersecting the contour, and the difference value Color with the color corresponding to. For example, when θ = 0 °, a hue corresponding to a difference value of “30 points” is set in the corresponding pixel (reference numeral 402B), and when θ = 90 °, the corresponding pixel (reference numeral 403B) is set. , A hue corresponding to the difference value of “15 points” is set.
The image generation unit 14 sets the hue 360 times while changing the angle θ from 0 to 359 degrees by 1 degree. Note that for pixels for which no hue has been assigned, interpolation may be performed based on the hue assigned to neighboring pixels.

The relationship between the difference value and the hue is stored in advance. For example, when the difference value is 0, (R, G, B) = (0, 0, 255), and as the difference value increases, the RGB values become (0, 255, 255), (0, 255). 0), (255, 255, 0), and (255, 0, 0), the hue is calculated. In this way, as the difference value increases, the color of the contour changes from blue → light blue → green → yellow → red, and how much the distance from the reference point is different between the analysis target and the comparison target. An image that can be seen at a glance can be generated.
Of course, the hue may be calculated by a method other than the exemplified method.

<Process flowchart>
FIG. 5 is a flowchart showing the process described above. The process shown in FIG. 5 is started by a user operation.

First, in step S11, the body shape acquisition unit 11 performs body shape data (first body shape data) corresponding to the body to be analyzed and body shape data (second body) corresponding to the body to be compared. Shape data). The body shape data may be acquired by, for example, a body scanner, or may be acquired by reading out data stored in advance.
Next, in step S12, the cross-sectional shape acquisition unit 12 cuts the first body shape data and the body shape corresponding to the second body shape data with a predetermined cut surface, respectively, Get the second cross-sectional shape. Note that the predetermined cut surface may be automatically set by the apparatus as described above, or may be designated by a user operation. Moreover, a reference point is set for each acquired cross-sectional shape by the method described above.

Next, in step S13, the analysis unit 13 calculates the distance from the reference point to the body surface for the first cross-sectional shape and the second cross-sectional shape by the method described above. In step S14, a distance difference is calculated and a set of difference values is acquired.
Next, in step S15, the image generation unit 14 converts the calculated difference value into a hue by the method described above, and generates an image in which the hue is reflected. Finally, in step S16, the generated image is output to the input / output unit 15 and provided to the user through the screen.

  As described above, the body information acquisition apparatus according to the first embodiment acquires the cross-sectional shape of the body based on the three-dimensional shape data, and calculates the difference in distance from the reference point. Thereby, the difference in the shape of the body to be analyzed and the body to be compared can be quantitatively determined. Also, by reflecting the comparison result in the hue, the user can grasp at a glance which part is different.

  In the present embodiment, the difference value is acquired 360 times while changing the angle from the reference point by 1 degree. However, the difference value may be acquired by other methods. For example, the difference value may be acquired only for an arbitrary pixel on the contour line of each cross-sectional shape.

(Second embodiment)
The body information acquisition device in the second embodiment is similar to the first embodiment in that both comparisons are made based on the cross-sectional shape acquired by the cross-sectional shape acquisition unit 12 and a comparison result is generated. The calculation method of the comparison result is different.
Since the system configuration diagram of the physical information acquisition apparatus in the second embodiment is the same as that in the first embodiment, a detailed description thereof will be omitted, and only differences in processing will be described.

FIG. 6 is a flowchart of processing performed by the physical information acquisition apparatus according to the second embodiment. Steps indicated by broken lines are the same as those in the first embodiment, and thus description thereof is omitted.
In the second embodiment, in step S131, the analysis unit 13 divides the target cross-sectional shape into a plurality of regions. Specifically, the cross-sectional shape is radially divided by 45 degrees with the reference point as the center, as shown in FIG. As a result, the cross-sectional shape is divided into eight regions at equal angles. The division of the region is performed for both the first cross-sectional shape and the second cross-sectional shape. Hereinafter, each divided area is referred to as a divided area.

In step S132, the length of the portion corresponding to the body surface (hereinafter, the body surface length) is calculated for each divided region. For example, in the example of FIG. 7, the length of the portion indicated by reference numeral 702A is calculated for the region 701A. In this embodiment, since the cross-sectional shape is divided into eight, eight body surface lengths are calculated.
The body surface length is calculated for both the first cross-sectional shape and the second cross-sectional shape. That is, a total of 16 body surface lengths are calculated.

In step S14, the divided regions included in the first cross-sectional shape are associated with the divided regions included in the second cross-sectional shape, the respective body surface lengths are compared, and the difference is calculated. In the description of the present embodiment, hereinafter, the difference value of the body surface length acquired here is simply referred to as a difference value.
For example, in the example of FIG. 7, the body surface length indicated by reference numeral 702A is compared with the body surface length indicated by reference numeral 702B, and a difference value is obtained. This process is performed for the number of divided areas.

  In step S15, as in the first embodiment, a color corresponding to the calculated difference value is given to the contour of the second cross-sectional shape. That is, the contour representing the body surface is divided into eight sections, and for each, an image colored according to the difference value is generated.

  In the second embodiment, as described above, the cross-sectional shape is divided into a plurality of regions with the reference point as the center point, and the difference in length of the body surface is compared for each region. Thereby, since it becomes possible to assign a comparison result for each orientation around the reference point, the user can more intuitively recognize the difference in shape.

(Third embodiment)
The third embodiment is an embodiment in which the first and second cross-sectional shapes are divided into a plurality of regions and compared with each other as in the second embodiment. In this embodiment, the difference between the areas of the divided regions is obtained.
Since the system configuration diagram of the physical information acquisition apparatus in the third embodiment is the same as that in the second embodiment, detailed description thereof is omitted, and only differences in processing from the second embodiment will be described.

  Specifically, in step S132, the area is calculated for each divided region. For example, in the example of FIG. 7, the area of the region is calculated for the region 701A. When the cross-sectional shape is divided into eight, eight areas are calculated. The area is calculated for both the first cross-sectional shape and the second cross-sectional shape. That is, a total of 16 areas are calculated.

In step S14, the divided areas included in the first cross-sectional shape are associated with the divided areas included in the second cross-sectional shape, and the difference between the areas is acquired.
For example, in the example of FIG. 7, the area of the region 701A is compared with the area of the region 701B, and the difference is obtained. This process is performed for the number of divided areas.
Then, by the same method as described above, the difference in area is converted into a hue, and a colored image is generated and presented to the user. Even if it does in this way, like 2nd embodiment, the effect that the difference of a body shape can be grasped | ascertained more intuitively can be acquired.

(Fourth embodiment)
In the second embodiment and the third embodiment, the sectional shape is divided into a plurality of regions by equally dividing the angle. On the other hand, the fourth embodiment is an embodiment in which the area is divided by equally dividing the cross-sectional area.
Since the system configuration diagram of the physical information acquisition apparatus in the fourth embodiment is the same as that in the second embodiment, detailed description thereof is omitted, and only differences in processing from the second embodiment will be described.

In the fourth embodiment, the area of the cross-sectional shape is defined in advance as n equal parts, and the total area of the first cross-sectional shape and the second cross-sectional shape is obtained in step S131, and then the total area Divide the region radially with the reference point as the center.
In the fourth embodiment, a comparison result is generated using a difference in body surface length in order to equally divide the area of the region.

(Fifth embodiment)
As in the second to fourth embodiments, the fifth embodiment is an embodiment that divides the cross-sectional shape radially, but the angle at which the division is performed using the distance from the reference point to the body surface. This embodiment is different from the embodiments in that it is dynamically determined.
Since the system configuration diagram of the physical information acquisition apparatus in the fifth embodiment is the same as that in the second embodiment, detailed description thereof is omitted, and only differences in processing from the second embodiment will be described.

  FIG. 8 is a diagram for explaining a sectional shape dividing method according to the fifth embodiment. FIG. 9 is a diagram showing in detail the processing in step S131 in the fifth embodiment. In the fifth embodiment, the analysis unit 13 divides the target cross-sectional shape into a plurality of regions by executing each step shown in FIG. 9 when executing step S131.

  First, a line starting from the reference point and ending at the body surface (hereinafter referred to as a reference line) is set (step S1311). Here, first, the reference line 801 is set in a direction parallel to the positive Z-axis direction. In the following description, it is assumed that the direction parallel to the positive direction of the Z axis is 0 degree and the angle is given clockwise. That is, the reference line 801 is a line extending in the direction of 0 degrees from the reference point.

  Next, the length of the reference line is measured (step S1312). In this example, it is assumed that the length of the reference line 801 is 60 points.

Next, based on the length of the reference line, the angle θ _i is calculated by Equation 1 (step S13).
13). Here, r is the length of the reference line, and a is the total extension of the contour of the target cross-sectional shape. N is a predetermined coefficient and is a real number of 1 or less.
θ ₁ = an / r (1)
For example, if a is 600 points, n is 1, and the length of the reference line r is 60 points, θ ₁ = 10 °.

Next, the target cross-sectional shape is divided using the calculated angle θ ₁ (step S131).
4). Specifically, the calculated angle is added to the current reference line direction to set a new reference line. A region surrounded by the old and new reference lines and the body surface is a newly divided region. In the example of FIG. 8, θ ₁ is 10 °, and reference numeral 802 is a new reference line. FIG. 8 shows the angle larger than the actual value for the sake of clarity.

When step S1314 ends, the analysis unit 13 causes the process to transition to step S1312, and calculates θ ₂ by the same method as θ ₁ . Thereafter, the steps described above are repeatedly executed. Thereby, θ ₁ , θ ₂ , θ ₃ ... Θ _n and the angles are sequentially calculated, and the region is divided.
If the total of processed angles exceeds 360 degrees, the process is terminated at 360 degrees. For example, the total of processed angles is 355 degrees, and the calculated angle θ _n is 1
When it is 0 degree, θ _n = 5 ° is set, the last region is divided, and the process is terminated.
The processing described above is performed on both the first cross-sectional shape and the second cross-sectional shape.

In step S132, the body surface length is calculated for each divided region, as in the second embodiment. In step S14, as in the second embodiment, the divided areas included in the first cross-sectional shape are associated with the divided areas included in the second cross-sectional shape, and the body surface lengths are compared. The difference is stored as a comparison result. The subsequent processing is the same as in the second embodiment.

  In the fifth embodiment, the number of divided regions may be different between the first cross-sectional shape and the second cross-sectional shape. That is, there may occur a case where the areas cannot be associated with each other. In such a case, the regions may be associated with each other by an arbitrary method. For example, the closest regions may be associated with each other. Alternatively, the body surface length may be interpolated using the angle from the reference point, and the comparison may be performed using the interpolated body surface length.

  As described above, in the fifth embodiment, the analysis unit 13 sets the angle at which the region is divided so as to be inversely proportional to the length from the reference point to the body surface. By doing in this way, the thicker the body, the more elongated region is generated, so that the difference in body shape can be expressed more precisely.

(Modification)
It should be noted that the description of the embodiment is an example for explaining the present invention, and the present invention can be implemented with appropriate modifications or combinations without departing from the spirit of the invention.

  For example, in each embodiment, the plane parallel to the ground (XZ plane in FIG. 2) is the cut plane, but the cut plane may be set in other directions. For example, the YZ plane may be set, or the XY plane may be set.

Moreover, in each embodiment, although the comparison result was represented by the hue of the outline, the comparison result may be represented by a method other than this. For example, the thickness or style of the contour line, brightness, brightness, or the like may be used. Further, other graphical expressions may be used.
Further, only when the comparison result (distance difference value or area difference value) exceeds a predetermined threshold value, the corresponding portion may be highlighted by hue, luminance, brightness, or the like.
In addition, when a region is divided, a different hue, luminance, brightness, or the like may be given to each region according to the comparison result.

Further, in each embodiment, the second cross-sectional shape is colored, but the presented image may be based on the first cross-sectional shape. Further, it may be based on a figure other than the cross-sectional shape. In addition, the first cross-sectional shape and the second cross-sectional shape may be aligned using the reference point as a reference, and the cross-sectional shapes may be superimposed.
In addition, the first cross-sectional shape and the second cross-sectional shape may be aligned using the reference point, and only the superimposed image may be generated.

  In each embodiment, the process is terminated when the image is output. However, the position of the cut surface may be re-designated by the user. In this case, every time the position of the cut surface is designated, the processing in steps S12 to S16 may be repeated to output an updated image. By doing in this way, usability can be improved more.

Moreover, in each embodiment, although it compared after acquiring cross-sectional shape, the information for performing the comparison does not necessarily need to be a two-dimensional plane, and has thickness in a height direction (Y-axis direction). It may be data. For example, the body shape represented by the body shape data can be cut out into a cylindrical shape by two parallel cut surfaces, and the comparison can be performed using the cut-out three-dimensional shape.
When applying this modification to 2nd embodiment, a reference point can be set on XZ plane using the illustrated method, and a cylindrical solid shape can be divided radially. Moreover, a comparison can be made using the area of the body surface instead of the body surface length.
Moreover, when applying this modification to 3rd embodiment, the difference of the volume which the divided | segmented solid has can be used instead of the difference of the area of the divided | segmented area | region.
Further, when this modification is applied to the fourth embodiment, the area may not be equally divided but the volume may be equally divided.

  In each embodiment, as a comparison result, the difference in the distance from the reference point to the body surface, the difference in the body surface length corresponding to the divided area, and the difference in the area of the divided area are given. Any information may be used as long as the information is obtained in this way.

  Further, in each embodiment, the body shape acquisition unit 11 acquires three-dimensional data representing the shape of the body, but the cross-sectional shape acquisition unit 12 uses the first and second information from the outside of the apparatus or stored information. You may make it acquire a cross-sectional shape directly.

  Moreover, in each embodiment, although cross-sectional shapes were compared using the reference point, you may make it compare using a method other than this. For example, instead of the reference point, a reference line or surface may be used. For comparison, the cross-sectional shapes may be aligned by any method.

  In each embodiment, the image generation unit 14 generates an image, but means for generating an image is not necessarily required. The object of the invention can be achieved if information representing the difference in body shape can be output using any means.

DESCRIPTION OF SYMBOLS 10 ... Body information acquisition apparatus 11 ... Body shape acquisition part 12 ... Cross-sectional shape acquisition part 13 ... Analysis part 14 ... Image generation part 15 ... Input / output part

Claims (14)

Body shape data obtained by measuring a human body and representing the shape of the body including at least the torso as a three-dimensional shape, and the first body shape data representing the shape of the body to be analyzed and the comparison target Body shape acquisition means for acquiring second body shape data representing the body shape of
Based on the first and second body shape data, the first cross-sectional shape and the first shape obtained by cutting the shape of the body to be analyzed and the shape of the body to be compared with predetermined cross sections, respectively. Cross-sectional shape acquisition means for acquiring a second cross-sectional shape;
An analysis means for comparing the first cross-sectional shape with the second cross-sectional shape and generating difference information that is information representing a difference in body shape;
I have a,
The analyzing means sets reference points corresponding to each other for the first and second cross-sectional shapes, and compares the first cross-sectional shape with the second cross-sectional shape based on the reference point. The body information acquisition apparatus characterized by performing and producing | generating the difference information which is the information showing the difference in the shape of a body. The analysis unit calculates a distance from the reference point to the body surface for each of the first cross-sectional shape and the second cross-sectional shape, and generates the difference information based on a result of comparing the distances. The physical information acquisition apparatus according to claim 1 , wherein: Centering on the reference point, the first and second cross-sectional shapes further have a region dividing means for radially dividing at a predetermined angle,
The analysis unit associates a region corresponding to the first cross-sectional shape with a region corresponding to the second cross-sectional shape among the divided regions, and compares the corresponding regions with each other. based on, and generates the difference information, physical information acquisition apparatus according to claim 1. The analysis unit compares lengths of portions corresponding to a body surface among contours surrounding the divided regions, and generates the difference information based on the comparison result. Item 4. The physical information acquisition device according to Item 3 . The body information acquiring apparatus according to claim 3 , wherein the analysis unit compares the areas of the divided regions and generates the difference information based on the comparison result. The physical information acquisition apparatus according to claim 3 or 4 , wherein the predetermined angle is an angle at which areas of the divided regions are the same. Said predetermined angle, characterized in that it is a equiangular, body information acquiring apparatus according to any one of claims 3 to 5. The said predetermined angle is a value proportional to the reciprocal of the length from the said reference point to the body surface in the vicinity of the area | region which is going to divide | segment, These are any one of Claim 3 to 5 characterized by the above-mentioned. The physical information acquisition device described in 1. Based on the first and second body shape data or based on an input operation from the user, a height setting for setting a height for performing comparison between the shape of the body to be analyzed and the shape of the body to be compared Further comprising means,
The cross-sectional shape obtaining means, a cutting surface obtained by the height set by the height setting means, characterized in that the predetermined cutting plane, according to any one of claims 1 8 Body information acquisition device. Characterized by further comprising an image generating means for generating an image representing the difference information, physical information acquiring apparatus according to any one of claims 1 to 9. The image generation means generates an image in which the first cross-sectional shape and the second cross-sectional shape are overlapped on the basis of the reference point, and the image generating unit has at least one of the first cross-sectional shape and the second cross-sectional shape. The physical information acquisition apparatus according to claim 10 , wherein the difference information is reflected. A body information acquisition method performed by a body information acquisition device that compares the shape of the body to be analyzed with the shape of the body to be compared,
Body shape data obtained by measuring a human body and representing the shape of the body including at least the torso as a three-dimensional shape, and the first body shape data representing the shape of the body to be analyzed and the comparison target A body shape acquisition step of acquiring second body shape data representing the body shape of
Based on the first and second body shape data, the first cross-sectional shape and the first shape obtained by cutting the shape of the body to be analyzed and the shape of the body to be compared with predetermined cross sections, respectively. A cross-sectional shape acquisition step of acquiring a second cross-sectional shape;
An analysis step for comparing the first cross-sectional shape with the second cross-sectional shape and generating difference information that is information representing a difference in body shape;
Only including,
In the analyzing step, reference points corresponding to the first and second cross-sectional shapes are set, and the first cross-sectional shape is compared with the second cross-sectional shape with the reference point as a reference. The body information acquisition method characterized by performing and producing | generating the difference information which is the information showing the difference in a body shape . The program which makes a computer perform each step of the physical information acquisition method of Claim 12 . Body shape data obtained by measuring a human body and representing the shape of the body including at least the torso as a three-dimensional shape, and the first body shape data representing the shape of the body to be analyzed and the comparison target Body shape acquisition means for acquiring second body shape data representing the body shape of
Based on the first and second body shape data, the first three-dimensional shape obtained by cutting the body shape of the analysis target and the shape of the comparison target body by two parallel cut planes, and Three-dimensional shape acquisition means for acquiring a second three-dimensional shape;
Analyzing means for comparing the first three-dimensional shape and the second three-dimensional shape, and generating difference information which is information representing a difference in body shape;
I have a,
The analyzing means sets reference points corresponding to the first and second solid shapes, and compares the first solid shape and the second solid shape with the reference point as a reference. The body information acquisition apparatus characterized by performing and producing | generating the difference information which is the information showing the difference in the shape of a body.

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