منابع مشابه
Learning Monocular 3D Human Pose Estimation from Multi-view Images
Accurate 3D human pose estimation from single images is possible with sophisticated deep-net architectures that have been trained on very large datasets. However, this still leaves open the problem of capturing motions for which no such database exists. Manual annotation is tedious, slow, and error-prone. In this paper, we propose to replace most of the annotations by the use of multiple views,...
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In this paper, we investigate the problem of multi-view 3D human pose estimation from depth images using deep learning methods. We utilize an iterative approach that progressively makes changes to an initial mean pose by feeding back error predictions. Our model is evaluated on a newly collected dataset (ITOP) that contains 30K annotated depth images from top-down and frontal views. Experiments...
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ژورنال
عنوان ژورنال: Journal of the Optical Society of Korea
سال: 2001
ISSN: 1226-4776
DOI: 10.3807/josk.2001.5.1.029