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PERCEPTION

From surfaces to objects: computer vision and three dimensional scene analysis

Year
1990
Citations
60

Abstract

laminar surfaces -surface grouping difficulties * rotational symmetry -surface segmentation and multiple recognitions • chair: * convex and concave curved surfaces (seat back) -surface grouping difficulties * thin cylindrical surfaces (legs) -data scale incompatible with model scale • robot: * surface blending -non-polyhedral segmentation relationships * non-rigidly connected subcomponents -unpredictable reference frame relationships and self-occlusions

Keywords

Surface (topology)InvocationRepresentation (politics)Computer scienceObject (grammar)Artificial intelligenceCognitive neuroscience of visual object recognitionComputer visionPattern recognition (psychology)Computer graphics (images)

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