Basic Research in Computer Science: Image Understanding

Abstract

The CMU Image Understanding program performed basic research and technology development toward robust, flexible, and precise vision systems to impact a wide variety of military and civilian applications. The accomplished results include: hypergeometric filter-based image matching; multi-body factorization for structure from motion; a trainable face detection system; 3D surface representation from multiple range images; learning of an object appearance model: recognition of 3D objects in range images by the Spin Image method; eigen window method for SAR image recognition; and shape matching technique and its medical application.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2001
Accession Number
ADA395319

Entities

People

  • Katsushi Ikeuchi
  • Steven Shafer
  • Takeo Kanade

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Change Detection
  • Computational Science
  • Computer Graphics
  • Computer Languages
  • Computer Science
  • Computer Vision
  • Detection
  • Detectors
  • Image Processing
  • Image Recognition
  • Information Processing
  • Object Recognition
  • Pattern Recognition
  • Surgery
  • Target Recognition
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML