Markerless 3D hand posture estimation from monocular video by two-level searching

Iek Kuong Pun, I-Chen Lin, Tsung Hsien Tang

研究成果: Paper同行評審

摘要

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.

原文English
頁面204-211
頁數8
DOIs
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 201318 十一月 2013

Conference

Conference13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013
國家/地區China
城市Hong Kong
期間16/11/1318/11/13

指紋

深入研究「Markerless 3D hand posture estimation from monocular video by two-level searching」主題。共同形成了獨特的指紋。

引用此