Pose Estimation Based on 3D Models release_qakgbusu4bacxacdof62ojwiqa

by Chuiwen Ma, Hao Su, Liang Shi

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2015  

Abstract

In this paper, we proposed a pose estimation system based on rendered image training set, which predicts the pose of objects in real image, with knowledge of object category and tight bounding box. We developed a patch-based multi-class classification algorithm, and an iterative approach to improve the accuracy. We achieved state-of-the-art performance on pose estimation task.
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Date   2015-06-20
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arXiv  1506.06274v1
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