Indexing for Visual Recognition from a Large Model Base
Abstract
This paper describes a new approach to the model base indexing stage of visual object recognition. Fast model base indexing indexing of 3D objects is achieved by accessing a database of encoded 2D views of the objects using a fast 2D matching algorithm. The algorithm is specifically intended as a plausible solution for the problem of indexing into very large model bases that general purpose vision systems and robots will have to deal with in the future. Other properties that make the indexing algorithm attractive are that it can take advantage of most geometric and non-geometric properties of features without modification, and that it addresses the incremental model acquisition problems for 3D objects. (SDW)
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1990
- Accession Number
- ADA229320
Entities
People
- Thomas M. Breuel
Organizations
- Massachusetts Institute of Technology