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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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1506.06274v1
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