Invention Grant
- Patent Title: Learning model for salient facial region detection
-
Application No.: US15449266Application Date: 2017-03-03
-
Publication No.: US10579860B2Publication Date: 2020-03-03
- Inventor: Xiaolong Wang , Yin Zhou , Bo Li , Jonathan J. Currey
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Suwon-si
- Agency: Sherman IP LLP
- Agent Kenneth L. Sherman; Hemavathy Perumal
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62

Abstract:
One embodiment provides a method comprising receiving a first input image and a second input image. Each input image comprises a facial image of an individual. For each input image, a first set of facial regions of the facial image is distinguished from a second set of facial regions of the facial image based on a learning based model. The first set of facial regions comprises age-invariant facial features, and the second set of facial regions comprises age-sensitive facial features. The method further comprises determining whether the first input image and the second input images comprise facial images of the same individual by performing face verification based on the first set of facial regions of each input image.
Public/Granted literature
- US20170351905A1 LEARNING MODEL FOR SALIENT FACIAL REGION DETECTION Public/Granted day:2017-12-07
Information query