From surfaces to objects: computer vision and three dimensional scene analysis
A unified approach to the theory and practice of computer vision. Presents a model-based, 3-dimensional scene analysis that combines surface patches segmented from the 3-dimensional scene description; surface-patch-based object models; a hierarchy of representations, models, and recognitions; a distributed-network-based model invocation process; and a knowledge-based model matcher. Describes the model-independent scene analysis, and how objects are represented and selected, and shows how to locate, verify, and understand a known object given its geometric model.
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An Introduction to Recognition Using Surfaces
Object Recognition from Surface Information
S Surface Data as Input for Recognition
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analysis angle armasm ASSEMBLY BO/LINE boundary segments Chapter Complete Robot computation concave boundaries connected constraints context corresponding curvature axis cylinder described error estimates evaluation evidence types Figure geometric model global graph GSRFTYPE harmonic mean Hence heuristics hierarchy hypothesis construction identity image features image regions invoked labeled lowerarm lsideb matching model features model instance model invocation model SURFACEs model-to-data nodes object model object recognition object surface obscured surface obscuring boundaries occlusion orientation discontinuity paired parameter planar plane plausibility position predicted principal curvatures problem property evidence raycasting reconstruction reference frame relationships relative representation represented robbody robbodyside robot robshldbd robshldend robshould rotation self-obscured self-occlusion structure subcomponent superclass SUPERCOMPONENT surface data surface hypotheses surface image surface normals surface orientation surface patches surface reconstruction surface regions surface shape test image Test Scene three dimensional scene transformation trash UNARYEVID upperarm uside vector verification viewpoint visible WEIGHT wire frame model
Computer Perceptual Organization in Computer Vision
Sudeep Sarkar,Kim L. Boyer
No preview available - 1994