3D Computer Vision: Efficient Methods and Applications

by Christian Wöhler

Overview

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.

Product Details

ISBN-13:	9781447141501
Publisher:	Springer-Verlag New York, LLC
Publication date:	07/23/2012
Series:	X.media.publishing
Sold by:	Barnes & Noble
Format:	eBook
Pages:	382
File size:	12 MB
Note:	This product may take a few minutes to download.

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.

Table of Contents

Part I: Methods of 3D Computer Vision.- Triangulation-based Approaches to Three-dimensional Scene Reconstruction.- Three-dimensional Pose Estimation and SegmentationMethods.- Intensity-based and Polarisation-based Approaches.- Point Spread Function Based Approaches to Three-dimensional Scene Reconstruction.- Integrated Frameworks for Three-dimensional Scene Reconstruction.- Part II: Application Scenarios.- Applications to Industrial Quality Inspection.- Applications to Safe Human–Robot Interaction.- Applications to Lunar Remote Sensing.- Conclusion.

Editorial Reviews

"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)

From the Publisher