Constructing object models from multiple images

作者:J. Ross Stenstrom, C. Ian Connolly

摘要

Methods for constructing face-edge-vertex models of objects directly from image data are presented. These methods, applicable to both range and intensity data, produce refined models using multiple images. Each model bounds the actual positions of surfaces on the object. The techniques rely on topologically significant image features to generate bounding volumes for the object surfaces. Potentially occupied volumes obtained from the multiple image viewpoints are intersected to form a cumulative description of potential surface positions. In conjunction with certain coherence and visibility assumptions, a model can be produced with little or no ambiguity. Typically, several well-chosen views will produce a good approximation to the object under consideration. Illustrative examples of building models from multiple range and intensity images are provided.

论文关键词:Coherence, Computer Vision, Image Data, Computer Image, Image Feature

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论文官网地址:https://doi.org/10.1007/BF00133701