標題: 使用有限的訓練資料與分層式搜尋之手部動作追蹤技術
Hierarchical-searching-based hand tracking with limited training data
作者: 潘亦廣
Pun, Iek-Kuong
林奕成
Lin, I-Chen
資訊科學與工程研究所
關鍵字: 手部追蹤;互動人機介面;姿勢辨識;hand tracking;interactive interfaces;Pose Estimation
公開日期: 2011
摘要: In this thesis, we consider tracking an articulated hand without using markers. Our hand tracking method performs nearest-neighbor-based search in a 3D hand model large database. For robustly and efficiently, we choose to capture a small real hand images database for each user as an intermediate dataset. And use Hierarchical-searching and temporal consistency to efficiently search in the large database and disambiguate the result. Our prototype system can estimate hand pose including rigid and non-rigid out-of-image-plane rotation, slow and fast gesture charging when rotation, and recover after the hand left the camera in real time. We believe it can be a more intuitive way for advance human computer interaction.
In this thesis, we consider tracking an articulated hand without using markers. Our hand tracking method performs nearest-neighbor-based search in a 3D hand model large database. For robustly and efficiently, we choose to capture a small real hand images database for each user as an intermediate dataset. And use Hierarchical-searching and temporal consistency to efficiently search in the large database and disambiguate the result. Our prototype system can estimate hand pose including rigid and non-rigid out-of-image-plane rotation, slow and fast gesture charging when rotation, and recover after the hand left the camera in real time. We believe it can be a more intuitive way for advance human computer interaction.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT079855533
http://hdl.handle.net/11536/48269
Appears in Collections:Thesis


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