• DOI:10.1109/CVPR.2017.494
Corpus ID: 1263188

Hand Keypoint Detection in Single Images Using Multiview Bootstrapping

@article{Simon2017HandKD,
  title={Hand Keypoint Detection in Single Images Using Multiview Bootstrapping},
  author={Tomas Simon and Hanbyul Joo and I. Matthews and Yaser Sheikh},
  journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017},
  pages={4645-4653}
}

Tomas Simon, Hanbyul Joo, +1 author Yaser Sheikh

Published 2017

Computer Science

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand. [...] Key Method We call this procedure multiview bootstrapping: first, an initial keypoint detector is used to produce noisy labels in multiple views of the hand. The noisy detections are then triangulated in 3D using multiview geometry or marked as outliers.Expand Abstract

View on IEEE

arxiv.org

Save to Library

Create Alert

Cite

Launch Research Feed