Optical Linear Feature Detection Based on Model Pose.
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 16, 1995
- Accession Number
- ADA308546
Entities
People
- J. R. Beveridge
- Mark R. Stevens
Organizations
- Colorado State University