Example Based Learning for View-Based Human Face Detection.

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1994
Accession Number
ADA295738

Entities

People

  • Kah K. Sung
  • Tomaso Poggio

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Cognitive Science
  • Computer Vision
  • Detection
  • Detectors
  • False Alarms
  • Gaussian Distributions
  • Machine Learning
  • Measurement
  • Models
  • Object Recognition
  • Pattern Recognition
  • Prototypes
  • Recognition
  • Target Recognition
  • Vector Spaces

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Systems Analysis and Design