3D Computer Vision

Efficient Methods and Applications

Christian Wöhler

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Hardback

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English

Springer London Ltd
21 July 2012

Graphics programming; Pattern recognition; Computer vision; Image processing

Series: X.media.publishing

This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.

By: Christian Wöhler
Imprint: Springer London Ltd
Country of Publication: United Kingdom
Edition: 2nd ed. 2013
Dimensions: Height: 235mm, Width: 155mm, Spine: 22mm
Weight: 764g
ISBN: 9781447141495
ISBN 10: 1447141490
Series: X.media.publishing
Pages: 382
Publication Date: 21 July 2012
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Christian Wöhler is Professor of Image Analysis at the Department of Electrical Engineering and Information Technology of TU Dortmund, Germany. His scientific interests are in the domains of computer vision, photogrammetry, remote sensing, and pattern classification, with applications in various fields including machine vision, robotics, advanced driver assistance systems, and planetary science.

Reviews for 3D Computer Vision: Efficient Methods and Applications

""I do recommend serious consideration of this book for a one-semester advanced graduate course on methods for 3D scene reconstruction, based on the first five chapters. For graduate students pursuing PhDs in the field of computer vision, this is a book they won’t want to miss."" (Zhaoqiang Lai, ACM Computing Reviews, Mar 8 2013, Review # CR141001)