Efficient face detection by a cascaded support–vector machine expansion
Work
Year: 2004
Type: article
Abstract: We describe a fast system for the detection and localization of human faces in images using a nonlinear 'support–vector machine'. We approximate the decision surface in terms of a reduced set of expan... more
Institutions University of Basel, Oxford Brookes University, Max Planck Institute for Biological Cybernetics, Microsoft Research (United Kingdom)
Cites: 21
Cited by: 63
Related to: 10
FWCI: 2.235
Citation percentile (by year/subfield): 95.51
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green