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.
|出版狀態||Published - 1 一月 2013|
|事件||13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 - Hong Kong, China|
持續時間: 16 十一月 2013 → 18 十一月 2013
|Conference||13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013|
|期間||16/11/13 → 18/11/13|