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A Computational Framework for Segmentation and Grouping by Gérard Medioni; Mi-Suen Lee; Chi-Keung Tang is a nonfiction available to read on EtoBox.

What is A Computational Framework for Segmentation and Grouping about?

This book represents a summary of the research we have been conducting since the early 1990s, and describes a conceptual framework which addresses some current shortcomings, and proposes a unified approach for a broad class of problems. While the framework is defined, our research continues, and some of the elements presented here will no doubt evolve in the coming years.It is organized in eight chapters. In the Introduction chapter, we present the definition of the problems, and give an overview of the proposed approach and its implementation. In particular, we illustrate the limitations of the 2.5D sketch, and motivate the use of a representation in terms of layers instead. In chapter 2, we review some of the relevant research in the literature. The discussion focuses on general computational approaches for early vision, and individual methods are only cited as references. Chapter 3 is the fundamental chapter, as it presents the elements of our salient feature inference engine, and their interaction. It introduced tensors as a way to represent information, tensor fields as a way to encode both constraints and results, and tensor voting as the communication scheme. Chapter 4 descr

Who reads A Computational Framework for Segmentation and Grouping?

Author

Gérard Medioni; Mi-Suen Lee; Chi-Keung Tang

Publisher

Elsevier Science & Technology Books

Published

2000

Language

EN

ISBN

9781281050069

Category

nonfiction

Subjects

Engineering, Mathematics, Science