Indexing without invariants in model-based object recognition
This thesis presents a method to efficiently recognize 3D objects from single, 2D images by the use of a novel, probabilistic indexing technique. Indexing is a two-stage process that includes an offline training stage and a runtime lookup stage. During training, feature vectors representing objec...
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
2009
|
| Online Access: | http://hdl.handle.net/2429/6716 |