3D COMPUTER VISION EFFICIENT METHODS AND APPLICATIONS 2ED (HB 2013)

WOHLER C

ISBN 10: 1447141490 / ISBN 13: 9781447141495

Published by SPRINGER, 2013

About this Item

Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Seller Inventory # CBS 9781447141495

Bibliographic Details

• Title: 3D COMPUTER VISION EFFICIENT METHODS AND APPLICATIONS 2ED (HB 2013)
• Publisher: SPRINGER
• Publication Date: 2013
• Language: English
• ISBN 10: 1447141490
• ISBN 13: 9781447141495
• Binding: Hardcover
• Edition: 2nd Edition, International Edition
• Condition: New

About this title

Synopsis

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.

About the Author

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.