Part segmentation for object recognition

Abstract

Addresses the problem of segmenting objects into parts using stereo images. There are three components in the part segmentation process: surface segmentation, region grouping, and volumetric models recovery/segmentation. The surface segmentation process segments the image into a set of regions such that each region represents a surface smooth in depth. The region grouping process merges the segmented regions into meaningful parts. Finally the process of volumetric model recovery/segmentation phase recovers the part model and segments that part into smaller parts if necessary. Since multi-shape models have been used to drive the part segmentation process, one can capture more geometric properties of the object and the application domain of the approach is broader than that of the previous approaches.<>