Secrets in Computing Optical Flow by Convolutional Networks
Computer Vision and Pattern Recognition
2017-10-05 v1
Abstract
Convolutional neural networks (CNNs) have been widely used over many areas in compute vision. Especially in classification. Recently, FlowNet and several works on opti- cal estimation using CNNs shows the potential ability of CNNs in doing per-pixel regression. We proposed several CNNs network architectures that can estimate optical flow, and fully unveiled the intrinsic different between these structures.
Cite
@article{arxiv.1710.01462,
title = {Secrets in Computing Optical Flow by Convolutional Networks},
author = {Junxuan Li},
journal= {arXiv preprint arXiv:1710.01462},
year = {2017}
}