Vision-Based Navigation and Recognition
Abstract
The research summarized in this report deals with many aspects of computer vision as applied to both navigation and object recognition. In particular, this research has concentrated on eight areas: parallel algorithms for vision; diffusion processes and their roles in early vision; invariant properties and their roles in object recognition; recovery of three-dimensional scene properties from single images; recovery of observer motion and scene structure from image sequences; direct motion analysis; visual interception; and vision-based navigation. Specific topics include algorithms for image and graph computations, parallel search and stereo matching; the application of diffusion processes to image morphing and face recognition; projective, affine, and deformation invariants of images; reliability of geometric computations on images of three-dimensional scenes; properties of foliage regarded as a three- dimensional texture; monocular and binocular recovery of motion and structure from feature correspondents in an image sequence; a unified treatment of feature-based and flow-based motion estimation; motion analysis based on global properties of the flow field; vision-based target interception; visibility on terrain; and landmark-based localization.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1994
- Accession Number
- ADA282962
Entities
People
- Azriel Rosenfeld
Organizations
- University of Maryland