Abstract
In this paper, a marker less 3D hand tracking system for monocular RGB video is presented. We propose a novel two-level approach to efficiently grasp the personal characteristics and high varieties of hand postures. Our system first searches the approximate nearest neighbors in a small personalized real-hand image set, and retrieves more details from a large synthetic 3D hand posture database. Temporal consistency property is also utilized for disambiguating and noise reduction. Our prototype system can approximate hand poses including rigid and non-rigid out-of-image-plane rotation, slow and fast gesture changing during rotation. It can also recover from a short-Term missing hand situation in an interactive rate.
Original language | English |
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Pages | 204-211 |
Number of pages | 8 |
DOIs | |
State | Published - 2013 |
Event | 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 - Hong Kong, China Duration: 16 Nov 2013 → 18 Nov 2013 |
Conference
Conference | 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 |
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Country/Territory | China |
City | Hong Kong |
Period | 16/11/13 → 18/11/13 |
Keywords
- 3D gesture
- advanced interface
- hand tracking