Item description for Computer Vision: Three-Dimensional Data from Images by Reinhard Klette, Andreas Koschan & Karsten Schluns...
This computer vision textbook describes the reconstruction of object surfaces and the analysis of distances between camera and objects. Main topics are static and dynamic stereo analysis, shape from shading, photometric stereo analysis, and structured illumination. The selected procedures, e.g., complex algorithms as Tsai calibration, Frankot-Chellapa depth map generation, or Lee-Rosenfield shape from shading, are discussed at a detailed level such that implementations can follow the given descriptions. Fundamentals are given for these application oriented approaches with respect to camera modeling and calibration, to geometric surface modeling, and to surface reflectance models. New research and laboratory results in shape reconstruction and depth analysis, e.g., based on color images have been included. The text is suitable for graduate courses in computer science, in several engineering disciplines, or in applied mathematics. Theoretical and applied excercises accompany each chapter.
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Est. Packaging Dimensions: Length: 0.75" Width: 7" Height: 9" Weight: 1.7 lbs.
Release Date Sep 18, 1998
ISBN 9813083719 ISBN13 9789813083714
Availability 100 units. Availability accurate as of May 29, 2017 01:55.
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More About Reinhard Klette, Andreas Koschan & Karsten Schluns
Klette from the University of Auckland, New Zealand
Reinhard Klette currently resides in Auckland. Reinhard Klette has an academic affiliation as follows - The University of Auckland Berlin Technical Univ., Germany The Univers.
Reviews - What do customers think about Computer Vision: Three-Dimensional Data from Images?
very useful for surface reconstruction Jul 28, 2001
I have used this book for preparing some of my lectures on computer vision. In particular in areas such as stereo and shape-from-shading, it belonged to the textbooks that were most useful for me: The explanations are supplemented with many illustrations, the descriptions are easy to understand for students, and eventually the methods are represented by concise algorithms enabling straightforward implementations. While this book is not intended to cover all areas in computer vision, it may serve as a very useful introduction to those fields where its authors are experts: stereo reconstruction and shape-from-shading. In my opinion, computer vision has not yet matured to a scientific field where it is possible to write five stars textbooks, but this book certainly deserves four stars.
A great practical book Jul 26, 2001
This book gives in a simple and explicit way all of the fine details one needs in order to implement 3D reconstruction methods.
I have been teaching computer vision for a while, and whenever a new student needs to learn about the bits and bytes of a specific algorithm I refer her/him to this book.
It is a great book for beginners and those that set up their own systems.
From a Graduate Student Dec 13, 2000
This book is full of mistypings, spelling errors and grammar errors. It annoys you with all of its sentences. If only the authors didn't use the word "respectively"... The book repeats itself, goes in deep details with the simplest tasks any computer science student should know, and passes the more advanced ones without proper explanations. It leaves you with the impression that the authors do not fully understand what they are speaking about. In some parts, it is as unscientific as a scientific textbook can be. For example, in explaining white balance procedure of a ccd camera the book tells you to turn the camera towards a white object and press the white balance button.
Despite these failures the authors are fairly successful in giving a comprehensive picture of what 3D shape recovery requires and how it can be implemented, hence the second star.