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 …

This paper addresses the problem of parametric representation and estimation of complex
planar curves in 2-D, surfaces in 3-D and nonplanar space curves in 3-D. Curves and …

Abstract 3D reconstruction, refers to capturing and reproducing the shape and appearance
of an arbitrary object or scene given depth and color information. This is a broad research …

This paper describes a method for partitioning 3D surface meshes into useful segments. The
proposed method generalizes morphological watersheds, an image segmentation …

Estimation techniques in computer vision applications must estimate accurate model
parameters despite small-scale noise in the data, occasional large-scale measurement …

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 …

We address the problem of representing and recognizing 3D free-form objects when (1) the
object viewpoint is arbitrary,(2) the objects may vary in shape and complexity, and (3) no …

A representation of objects by their parts is the dominant strategy for representing complex
3D objects in many disciplines. In computer vision and robotics, superquadrics are among …

A region groWing method segments three-dimensional image data of an anatomical
structure using a tortuous path length limit to constrain voXel groWth. The path length limit …

A novel algorithm for estimating the noise variance of an image is presented. The image is
assumed to be corrupted by Gaussian distributed noise. The algorithm estimates the noise …