US2016203358A1PendingUtilityA1

Systems and methods for using curvatures to analyze facial and body features

Assignee: PALMER III FRANCIS RPriority: Sep 9, 2011Filed: Feb 16, 2016Published: Jul 14, 2016
Est. expirySep 9, 2031(~5.1 yrs left)· nominal 20-yr term from priority
G06K 9/00261G06K 9/00248G06K 9/00281G06V 40/10G06V 40/16G06V 40/171G06V 40/167G06V 40/165
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Claims

Abstract

Systems, and methods of providing attractiveness analysis are disclosed. In some embodiments, an electronic analysis platform is configured to obtain image data and curvature data to provide an attractiveness analysis to a user via a physical interface. Curvature data could comprise any data indicative of a curvature of a physical feature or a depiction thereof, including shadow data and pixilation data.

Claims

exact text as granted — not AI-modified
1 - 18 . (canceled) 
     
     
         19 . A method for providing a recommendation to a person relating to a measure of attractiveness, comprising:
 using an electronic analysis platform functionally coupled to a sensor that is configured to capture an image of a face of a subject; and   using the analysis platform to:
 obtain the image; 
 apply a grid having a first grid section and a second grid section to the image of the face; 
 identify a first feature on a first portion of the face corresponding to the first grid section; 
 identify a second feature on a second portion of the face corresponding to the second grid section; 
 compare pixel data of the first grid section with pixel data of the second grid section to determine a proportionality of a volume of the first feature relative to a volume of the second feature; and 
 provide a recommendation to the person based at least in part on the step of comparing. 
   
     
     
         20 . The method of  claim 19 , further comprising a device display, wherein the analysis platform is further configured to provide the recommendation via the device display. 
     
     
         21 . The method of  claim 19 , wherein the image is further of a background environment, and at least one other body portion of the subject, and wherein the analysis platform is configured to apply the grid to portions of the image including the face, the background environment and the at least one other body portion. 
     
     
         22 . The method of  claim 19 , wherein the grid comprises substantially vertical and substantially horizontal lines. 
     
     
         23 . The method of  claim 19 , wherein the image of the face is a grayscale image, and wherein the pixel data of the first grid section comprises pixel intensity data. 
     
     
         24 . The method of  claim 19 , wherein the image of the face comprises a gradient image, and wherein the pixel data of the first grid section comprises image gradient data. 
     
     
         25 . The method of  claim 19 , wherein the first feature comprises at least one of at least a portion a nostril, at least a portion a cheek, at least a portion of a jaw, at least a portion an eye, at least a portion of a forehead, at least a portion a brow-bone, a temple, at least a portion of a bridge of a nose, at least a portion of a lip, at least a portion of a perimeter of the face, and at least a portion of an ear. 
     
     
         26 . The method of  claim 19 , wherein the recommendation is related to a product. 
     
     
         27 . The method of  claim 19 , wherein the recommendation is related to a procedure. 
     
     
         28 . The method of  claim 19 , wherein the recommendation is related to at least one of a style and an accessory. 
     
     
         29 . The method of  claim 19 , wherein the analysis platform is further configured to generate an attractiveness score based at least in part on the step of comparing. 
     
     
         30 . The system of  claim 29 , wherein the analysis platform is further configured to modify the image to correspond to a higher attractiveness score.

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