Biview Learning for Human Posture Segmentation from 3D Points Cloud
نویسندگان
چکیده
منابع مشابه
Biview Learning for Human Posture Segmentation from 3D Points Cloud
Posture segmentation plays an essential role in human motion analysis. The state-of-the-art method extracts sufficiently high-dimensional features from 3D depth images for each 3D point and learns an efficient body part classifier. However, high-dimensional features are memory-consuming and difficult to handle on large-scale training dataset. In this paper, we propose an efficient two-stage dim...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0085811