The Combinatorics of Object Recognition in Cluttered Environments Using Constrained Search
When clustering techniques such as the Hough transform are used to isolate likely subspaces of the search space, empirical performance in cluttered scenes improves considerably. In this paper we establish formal bounds on the combinatorics of this approach. Under some simple assumptions, we s...
| Main Author: | |
|---|---|
| Language: | en_US |
| Published: |
2004
|
| Online Access: | http://hdl.handle.net/1721.1/6485 |