Accession Number : ADA308546

Title :   Optical Linear Feature Detection Based on Model Pose.

Descriptive Note : Technical rept.,

Corporate Author : COLORADO STATE UNIV FORT COLLINS DEPT OF COMPUTER SCIENCE

Personal Author(s) : Stevens, Mark R. ; Beveridge, J. R.

PDF Url : ADA308546

Report Date : 16 DEC 1995

Pagination or Media Count : 5

Abstract : Low-level edge detection in optical imagery can be problematic in the ATR domain where highly complex scenes are the norm. Feature detection algorithms typically take a global approach, resulting in the discovery of many fragmented lines which are not directly related to stored model information. For this domain, we have taken a top-down approach which searches an optical image for the locally optimal features based on the current hypothesized object pose. The resulting linear features can then be matched against a CAD model.

Descriptors :   *OPTICAL DETECTION, *TARGET RECOGNITION, ALGORITHMS, LINEAR SYSTEMS, COMPUTER AIDED DESIGN, MODELS, EDGES, OPTICAL IMAGES, LOW LEVEL.

Subject Categories : Optical Detection and Detectors
      Target Direction, Range and Position Finding

Distribution Statement : APPROVED FOR PUBLIC RELEASE