caa a22 4500 46903601X CHVBK 20180323132756.0 cr unu---uuuuu 170328e19921201xx s 000 0 eng 10.1007/BF00133701 doi (NATIONALLICENCE)springer-10.1007/BF00133701 Constructing object models from multiple images [Elektronische Daten] [J. Stenstrom, C. Connolly] 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. Kluwer Academic Publishers, 1992 Stenstrom J. aut Connolly C. the Computer Science Department, University of Massachusetts, 01003, Amherst, MA aut International Journal of Computer Vision Kluwer Academic Publishers 9/3(1992-12-01), 185-212 0920-5691 9:3<185 1992 9 11263 https://doi.org/10.1007/BF00133701 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00133701 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Stenstrom J. aut NATIONALLICENCE 700 1- Connolly C. the Computer Science Department, University of Massachusetts, 01003, Amherst, MA aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 9/3(1992-12-01), 185-212 0920-5691 9:3<185 1992 9 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer