Pose Estimation Based on 3D Models

Chuiwen Ma, Hao Su, Liang Shi

Published 2015-06-20Version 1

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.