3-D multiview object representations for model-based object recognition

摘要

3-D multiview object representations are presented as an alternative approach to traditional 3-D volumetric object representations. 3-D multiview models store features in a viewer-centered representation and thus can be immediately used to match features derived from 2-D images. Algorithms are presented that construct, search and perform region growing on 3-D multiview object models.