JP-2026074558-A - Information processing method, information processing device, program, and information processing system

JP2026074558AJP 2026074558 AJP2026074558 AJP 2026074558AJP-2026074558-A

Abstract

[Problem] To provide, for example, an information processing method, an information processing device, and a program for visualizing skin elasticity and/or skin strain. [Solution] The information processing method performed on a computer according to the present disclosure includes an acquisition step of acquiring a plurality of skin images, wherein the plurality of skin images are images captured over time of pressure processing on target skin; an assignment step of assigning feature points to each skin image; an assignment step of associating the same feature points in each skin image; and a setting step of calculating the difference between the distance between a first feature point of a reference skin image set from the plurality of skin images and a second feature point different from the first feature point, and the distance between the corresponding first feature point and second feature point of a target skin image captured after the reference skin image, and setting the magnitude of the difference in distance as an index value of the distortion of the skin tissue caused by the pressure processing at the first feature point of the target skin image. [Selection Diagram] Figure 1

Inventors

田中清隆

Assignees

一丸ファルコス株式会社

Dates

Publication Date: 20260507
Application Date: 20241021

Claims (15)

This is an acquisition process that obtains multiple skin images. The aforementioned multiple skin images are images captured over time as pressure is applied to the target skin, and A step of assigning feature points to each skin image, Each skin image is associated with the same feature points in a matching process, The method includes a setting step of calculating the difference between the distance between a first feature point and a second feature point different from the first feature point of a reference skin image set from multiple skin images, and the distance between the corresponding first feature point and second feature point of a target skin image captured after the reference skin image, and setting the magnitude of the difference in distance as an index value of the distortion of the skin tissue caused by the pressure processing at the first feature point of the target skin image. A method of information processing performed on a computer.
The information processing method according to claim 1, wherein in the setting step, a plurality of feature points other than the first feature point of the reference skin image are used as second feature points, the difference in distance is calculated, and the magnitude of the largest difference in distance among the obtained differences in distance is set as an index value of the skin distortion caused by the pressure processing at the first feature point of the target skin image.
The information processing method according to claim 1 or 2, wherein in the setting step, a feature point other than the first feature point located within a predetermined distance from the first feature point of the reference skin image is designated as the second feature point.
The information processing method according to claim 1 or 2, wherein in the setting step, each feature point of the reference skin image is designated as a first feature point.
The information processing method according to claim 1 or 2, wherein in the setting step, feature points included in a plurality of skin images, including the reference skin image and skin images taken after the reference skin image, are designated as the first feature points.
The information processing method according to claim 1 or 2, comprising a display step of displaying the characteristic points of the target skin image and the distortion index value of each characteristic point on the target skin image.
The information processing method according to claim 6, wherein the display step involves changing the display of each feature point based on the distortion index value of each feature point.
The information processing method according to claim 1 or 2, wherein the reference skin image is a skin image taken before the start of the pressure treatment.
The information processing method according to claim 1 or 2, wherein the magnitude of the difference in distance is the absolute value of the difference in distance.
The information processing method according to claim 1 or 2, wherein the pressure treatment applied to the target skin is a pressing treatment applied to the target skin.
The information processing method according to claim 1 or 2, comprising an estimation step of estimating the susceptibility to sagging or elasticity of the target skin based on the aforementioned strain index value.
The information processing method according to claim 1 or 2, comprising a suggestion step of suggesting a target topical skin preparation based on the aforementioned strain index value.
This is an acquisition unit that acquires multiple skin images. The aforementioned multiple skin images include a portion that is an image captured over time of pressure treatment applied to the target skin, A unit that assigns feature points to each skin image, Each skin image has a matching section that associates the same feature points, The system includes a setting unit that calculates the difference between the distance between a first feature point and a second feature point different from the first feature point of a reference skin image set from multiple skin images, and the distance between the corresponding first and second feature points of a target skin image captured after the reference skin image, and sets the magnitude of the difference in distance as an index value of the distortion of the skin tissue caused by the pressure processing at the first feature point of the target skin image. Information processing device.
On the computer, This is an acquisition process that obtains multiple skin images. The aforementioned multiple skin images are images captured over time as pressure is applied to the target skin, and the process involves this. A process to assign feature points to each skin image, A matching process is performed to associate the same feature points in each skin image, A program that performs a setting process which involves calculating the difference between the distance between a first feature point and a second feature point different from the first feature point of a reference skin image set from multiple skin images, and the distance between the corresponding first and second feature points of a target skin image captured after the reference skin image, and setting the magnitude of the difference in distance as an index value of the distortion of the skin tissue caused by the pressure processing at the first feature point of the target skin image.
Including terminals and servers, The aforementioned terminal and the aforementioned server are connected via a communication network. The server includes the information processing device described in claim 13, The server is an information processing system that sets an index value for skin tissue distortion from multiple skin images transmitted from the terminal.

Description

This disclosure relates to information processing methods, information processing devices, programs, and information processing systems. As a method for measuring the morphological characteristics of the skin, methods that visualize or quantify skin texture and wrinkles from skin surface images captured by a camera are widely used. Furthermore, methods for measuring the physical properties of the skin, such as measuring elasticity using an elasticity meter and measuring plasticity, are generally known (Patent Document 1). Japanese Patent Publication No. 2009-268460 Figure 1 is a block diagram showing an example of an information processing system equipped with an information processing device according to Embodiment 1.Figure 2 is a block diagram showing the hardware configuration of the information processing device in Embodiment 1.Figure 3 is a flowchart showing the information processing method and program in Embodiment 1.Figure 4 is a schematic diagram showing an example of skin image processing according to Embodiment 1.Figure 5 is a block diagram showing an example of an information processing system equipped with an information processing device according to Embodiment 2.Figure 6 is a flowchart showing the information processing method in Embodiment 2. <Definition> In this specification, “skin tissue” means the skin tissue composed of the epidermis, dermis, and subcutaneous tissue. The epidermis is the outermost tissue of the skin and includes the stratum corneum and the germinal layer. The dermis is the main tissue of the skin that forms the space between the epidermis and the subcutaneous tissue and is rich in collagen. The subcutaneous tissue is the innermost tissue of the skin and supports the epidermis and dermis. In this specification, "skin image" refers to an image of skin tissue. Preferably, the skin image is an image of the epidermis taken from outside the skin tissue. In this specification, "topical skin preparation" means a preparation used for application to the skin. The topical skin preparation is preferably a preparation applied to the skin surface of the body, such as the face or body. The form of the topical skin preparation may include ampoules, capsules, powders, granules, liquids, gels, bubbles, emulsions, sheets, mists, sprays, etc., depending on the form of use. Examples of the forms of use include pharmaceuticals; quasi-drugs; topical or systemic topical skin preparations; medicinal and/or cosmetic preparations for application to the scalp and hair; bath preparations for use in bathwater; and other preparations. Examples of topical or systemic skin preparations include basic cosmetics such as lotions, emulsions, creams, ointments, oils, and packs; facial cleansers or skin cleansers such as bar soaps, liquid soaps, and hand washes; massage agents, cleansing agents, depilatory agents, hair removal agents, shaving agents, aftershave lotions, preshave lotions, shaving creams; makeup cosmetics such as foundations, lipsticks, blushes, eyeshadows, eyeliners, and mascaras; perfumes; nail care products, nail polish, nail polish removers; poultices, plasters, tapes, sheets, patches, aerosols; and mouthwashes and other gargles. Examples of medicinal and/or cosmetic preparations applied to the scalp and hair include shampoos, conditioners, hair treatments, pre-hair treatments, permanent wave solutions, hair dyes, hair styling products, hair tonics, hair growth/nourishing products, poultices, plasters, tapes, sheets, aerosols, etc. Examples of other preparations include deodorants or antiperspirants, antiperspirants, sanitary products, sanitary cotton, wet wipes, etc. The present disclosure will be described in detail below with reference to the drawings and with examples. However, this disclosure is not limited to the following description. In Figures 1 to 6 below, the same parts are denoted by the same reference numerals, and their descriptions may be omitted. Furthermore, in the drawings, for the sake of clarity, the structure of each part may be simplified as appropriate, and the dimensional ratios of each part may be shown schematically, differing from the actual dimensions. Also, unless otherwise specified, each embodiment and description is interchangeable, and their descriptions can be used interchangeably. In this specification, the expression "~" includes the numerical or physical values before and after it. Furthermore, in this specification, the expression "A and/or B" includes "A only," "B only," and "both A and B." (Embodiment 1) Embodiment 1 relates to an information processing device and an information processing method of the present disclosure. This embodiment is an example of an information processing apparatus and information processing method of the present disclosure. Figure 1 is a schematic diagram of the information processing apparatus 10 of Embodiment 1. As shown in Figure 1, the information processing apparatus 10 mainly comprises an acquisition unit 11, an assign