Work

The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation

Year: 2012

Type: conference-paper

Source: IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI: 10.1109/cvpr.2012.6247664

Authors: J. Taylor, J. Shotton, T. Sharp, A. Fitzgibbon

Institutions: University of Toronto, Microsoft Research (United Kingdom)

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2156094778

FWCI: 19.29

Cites: 25

Cited by: 272

Related to: 10