Pose Estimation Based on 3D Models
Computer Vision and Pattern Recognition
2015-06-23 v1 Machine Learning
Robotics
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.
Cite
@article{arxiv.1506.06274,
title = {Pose Estimation Based on 3D Models},
author = {Chuiwen Ma and Hao Su and Liang Shi},
journal= {arXiv preprint arXiv:1506.06274},
year = {2015}
}