Richard D. Boyle

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #21,296 of 21,575 by trust here, #8,296 by citations
• Human-Computer Interaction — 14 citations into it; #2,231 of 2,253 by trust here, #437 by citations
• Control and Systems Engineering — 5 citations into it; #8,188 of 8,257 by trust here, #1,294 by citations

Whom Richard D. Boyle trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thomas S. Huang (in Computer Vision and Pattern Recognition)
2. Ying Wu (in Computer Vision and Pattern Recognition)
3. John Y. Lin (in Computer Vision and Pattern Recognition)
4. Roberto Cipolla (in Computer Vision and Pattern Recognition)
5. Paul A. Viola (in Computer Vision and Pattern Recognition)
6. Michael J. Jones (in Computer Vision and Pattern Recognition)

Who trusts Richard D. Boyle

1. Juergen Gall (in Computer Vision and Pattern Recognition)

Papers from Richard D. Boyle's perspective

Ordered by how strongly the researchers Richard D. Boyle trusts endorse each paper. Same corpus, a different order for every researcher.

1. Capturing natural hand articulation (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
2. 3-D model-based tracking of humans in action: a multi-view approach
3. Rapid object detection using a boosted cascade of simple features
4. Model-based 3D tracking of an articulated hand (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
5. A boosted classifier tree for hand shape detection (Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.)
6. Modeling the constraints of human hand motion (Proceedings Workshop on Human Motion)
7. Estimating 3D hand pose from a cluttered image (2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.)
8. The Visual Hull Concept for Silhouette-Based Image Understanding
9. A Survey of Computer Vision-Based Human Motion Capture
10. Recent developments in human motion analysis

Their papers

• Vision-based hand pose estimation: A review (2007) — 949 citations