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