Model-based Vision: 19-20 November 1992, Boston, MassachusettsHatem N. Nasr, Rodney M. Larson |
Contents
Modelbased 3D object pose estimation from linear image decomposition and direction | 10 |
Maximum entropy and minimum cross entropy methods in image processing 182716 | 16 |
Modelbased object classification using unification grammars and abstract representations | 41 |
Copyright | |
15 other sections not shown
Common terms and phrases
3-D object abstraction approach Attributed Grammars attributed graph Bayesian beak complexity components computer vision contour coordinate correspondence database defined denoted described detected determine dimensional domain constraint edgels edges encoded entropy equation estimated picture evaluation example extraction feature extraction feature structure function fuzzy measure genetic algorithm geometric has_seat Hough transform hypergraph hypothesis identified IEEE Trans image data image description image processing input invisible knowledge Knowledge representation layer linguistic descriptions macro feature matching matrix ME-MCE method Mexico State University model features model-based module monomorphism neural network nodes object model object recognition operations orientation output parameters parse pattern recognition pixel pose problem processor radiographs region relation representation represented retrieval Robotics rule samples scene features segmentation shape shown in Figure simplex algorithm sketch spatial surface symbolic task technique texture tokenset tokensubset unification grammar unmodeled values vector vision system visual transformation width