Abstract
An algorithm for extracting and segmenting surface descriptions
from stereo images is presented. Compared with the advance of range
image segmentation, the progress of surface segmentation from stereo
images is slow. The algorithm integrates the boundary-based and
region-based approaches to achieve more satisfactory segmentation
results. The algorithm yields such a rich description of a scene in
terms of global surface patches and closed surface boundaries. These
shape primitives are useful for subsequent high-level processing
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