Detecting end-effectors on 2.5D data using geometric deformable models: Application to human pose estimation
نویسندگان
چکیده
منابع مشابه
Detecting end-effectors on 2.5D data using geometric deformable models: Application to human pose estimation
End-effectors are usually related to the location of limbs, and their reliable detection enables robust body tracking as well as accurate pose estimation. Recent innovation in depth cameras has re-stated the pose estimation problem. We focus on the information provided by these sensors, for which we borrow the name 2.5D data from the Graphics community. In this paper we propose a human pose est...
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ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2013
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2012.11.006