Data segmentation and model selection for computer vision
Subtitle: a statistical approach
By: Alireza Bab-Hadiashar, David Suter, editors.
Contributors: Bab-Hadiashar, Alireza.; Suter, David.
Publisher: Springer
Published: 2000
Place of publication: New York
Language: eng
Number of pages: 208
Subjects: Computer vision
Description: "This unique interdisciplinary book contains research material from two relatively distinct communities: statisticians working on robust techniques for model fitting and model selection; and engineers and computer scientists working on problems involving data segmentation.".

"For statisticians, the book contains a convenient summary of recent work in their community and provides them with an excellent primer on the problems of data segmentation within a machine-vision context. For engineers and computer scientists, the book provides both a convenient entry into current research in data segmentation and a synopsis of the main statistical ideas relevant to a study on the subject within a statistical context.".

"The book presents material at a level appropriate for advanced undergraduates, graduate students, and researchers in statistics, computer science, and computer engineering. It can also serve as an up-to-date resource for a seminar series at the postgraduate level."--BOOK JACKET.
Notes: Includes bibliographical references (p. [185]-204).