Accession Number : ADA295738
Title : Example Based Learning for View-Based Human Face Detection.
Descriptive Note : Memorandum rept.,
Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Personal Author(s) : Sung, Kah K. ; Poggio, Tomaso
PDF Url : ADA295738
Report Date : DEC 1994
Pagination or Media Count : 22
Abstract : We present an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns by means of a few view-based "face" and "non-face' prototype clusters. At each image location, the local pattern is matched against the distribution-based model, and a trained classifier determines, based on the local difference measurements, whether or not a human face exists at the current image location. We provide an analysis that helps identify the critical components of our system.
Descriptors : *HUMANS, *LEARNING, *FACE(ANATOMY), MEASUREMENT, POSITION(LOCATION), MODELS, IMAGES, PATTERNS, CRITICALITY(GENERAL).
Subject Categories : Anatomy and Physiology
Distribution Statement : APPROVED FOR PUBLIC RELEASE