Invention Grant
- Patent Title: Gesture identification with natural images
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Application No.: US16228897Application Date: 2018-12-21
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Publication No.: US10366281B2Publication Date: 2019-07-30
- Inventor: Shu-Sian Yang
- Applicant: PIXART IMAGING INC.
- Applicant Address: TW Hsin-Chu
- Assignee: PIXART IMAGING INC.
- Current Assignee: PIXART IMAGING INC.
- Current Assignee Address: TW Hsin-Chu
- Agency: Li & Cai Intellectual Property (USA) Office
- Priority: TW101137168A 20121008
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
A method for gesture identification with natural images includes generating a series of variant images by using each two or more successive ones of the natural images, extracting an image feature from each of the variant images, and comparing the varying pattern of the image feature with a gesture definition to identify a gesture. The method is inherently insensitive to indistinctness of images, and supports the motion estimation in axes X, Y, and Z without requiring the detected object to maintain a fixed gesture.
Public/Granted literature
- US20190114471A1 GESTURE IDENTIFICATION WITH NATURAL IMAGES Public/Granted day:2019-04-18
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