Information processing device, weight estimation device, weight estimation system, information processing method, and storage medium
US-12098947-B2 · Sep 24, 2024 · US
US2021125405A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2021125405-A1 |
| Application number | US-202017114832-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 8, 2020 |
| Priority date | Oct 26, 2017 |
| Publication date | Apr 29, 2021 |
| Grant date | — |
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Systems and methods are disclosed method for rendering reality for an object by performing motion tracking and area learning of an environment; selecting a pattern or color from a plurality of product variations; blending the pattern or color of the object and the environment; and displaying the color on the object as an augmented reality view.
Opening claim text (preview).
What is claimed is: 1 . A method for rendering reality for an object, comprising: performing motion tracking and area learning of an environment; selecting a pattern or color from a plurality of product variations; blending the pattern or color of the object and the environment; and displaying the color on the object as an augmented reality view. 2 . The method of claim 1 , wherein the mobile camera comprises a smart phone or a portable camera. 3 . The method of claim 1 , comprising applying a 3D deformable template to the object and warping the template to one or more predetermined points on the model. 4 . The method of claim 1 , wherein the object comprises hair, foot, hand, finger, toe, wrist, neck, or ear, wherein the object comprises jewelry. 5 . The method of claim 1 , comprising providing a 3D printer for printing a custom object, or providing a bed of sand having a liquid flowable state and a solid state with an impression for a reformably molded object. 6 . The method of claim 1 , wherein the object comprises a body portion, a head, a chest region, a leg, and the object comprises body protection gear. 7 . The method of claim 1 , comprising monitoring user health. 8 . The method of claim 1 , comprising selecting a best fit from jewelry variation, shoe variations, clothing variations, apparel variations or footwear variations. 9 . The method of claim 1 , wherein the object comprises a face and the object comprises facial makeup products. 10 . The method of claim 1 , wherein the object comprises a head and the object comprises hairstyles. 11 . The method of claim 1 , wherein the anatoobjectmical portion is a face, comprising: selecting a makeup pattern or color from a plurality of makeup product variations; and blending the makeup pattern or color onto the model; and displaying the makeup color on the face. 12 . The method of claim 1 , comprising modeling one or more applications of light foundation creme, eye disguise, highlighter, concealer or blush and recommending a makeup to the subject. 13 . The method of claim 4 , wherein the jewelry comprises cosmetic jewelry, a facial jewelry, hand jewelry, foot jewelry, ear jewelry, dental jewelry, navel jewelry or a hair jewelry. 14 . The method of claim 1 , comprising motion tracking, area learning and depth sensing a body portion. 15 . The method of claim 1 , comprising matching used jewelry or consigned jewelry to the subject. 16 . The method of claim 1 , comprising rendering the product variations on an online portal. 17 . The method of claim 1 , comprising providing augmented reality view or virtual reality view of the one or more products with a user custom view. 18 . A method for selecting a product, comprising: selecting one or more 3D models from a product database; performing motion tracking and area learning of an environment; selecting a pattern or color from a plurality of product variations; blending the pattern or color of the product and the environment; and displaying the color on the product as an augmented reality view. 19 . A method for fitting, comprising: selecting one or more 3D models from a product database; capturing images of a user view relative to a reference frame using a mobile camera, including: performing motion tracking and area learning of an environment; selecting a pattern or color from a plurality of product variations; blending the pattern or color of the object and the environment; and displaying the color on the object as an augmented reality view. generating an updated model of the user view by selecting a closest 3D model to the user view and matching points on the closest 3D product model to one or more predetermined points on the user view; and selecting a best-fit product from a plurality of product variations based on the 3D model. 20 . The method of claim 19 , comprising providing augmented reality view or virtual reality view of the one or more products with a user custom view.
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