A general-purpose computer vision system must be capable of recognizing three-
dimensional (3-D) objects. This paper proposes a precise definition of the 3-D object …

The goal in computer vision systems is to analyze data collected from the environment and
derive an interpretation to complete a specified task. Vision system tasks may be divided into …

We study the problem of creating a complete model of a physical object. Although this may
be possible using intensity images, we here use images which directly provide access to …

Introduction..--''wo ima es' 1c-Until now, we have studied visual computations on single
images, OT id few; gen tfhe quired simultaneously. in this chapter, we broaden our …

The solution of the segmentation problem requires a mechanism for partitioning the image
array into low-level entities based on a model of the underlying image structure. A piecewise …

This paper introduces an integrated local surface descriptor for surface representation and
3D object recognition. A local surface descriptor is characterized by its centroid, its local …

This book contains both a synthesis and mathematical analysis of a wide set of algorithms
and theories whose aim is the automatic segmen tation of digital images as well as the …

In recent years there has been a tremendous increase in computer vision research using
range images (or depth maps) as sensor input data. The most attractive feature of range …

We present an approach for the recognition of multiple 3-D object models from three 3-D
scene data. We work on dense data, but neither the models nor the scene data have to be …

Human ear is a new class of relatively stable biometrics that has drawn researchers'
attention recently. In this paper, we propose a complete human recognition system using 3D …