A three-dimensional object identification methodology based on rigid geometrical constraints and cross-correlation is discussed, and experimental results are given. Comparable results from a nearest-neighbor classifier using simple feature vectors extracted from the object and model projections are also given. Comments concerning advantages of model-driven recognition methodologies are then made.
|Number of pages||10|
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|State||Published - Feb 1 1990|