Stereo Scene Flow for 3D Motion Analysis

Wedel, Andreas; Cremers, Daniel

This book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, culminating in the development of a novel, accurate and robust optic flow method. Features: reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms; investigates the use of residual images for optical flow; examines methods for deriving motion from stereo image sequences; analyses the error characteristics for motion variables, and derives scene flow metrics for movement likelihood and velocity; introduces a framework for scene flow-based moving object detection and segmentation; includes Appendices on data terms and quadratic optimization, and scene flow implementation using Euler-Lagrange equations, in addition to a helpful Glossary.

Details

Published by: Springer

Publication Date: 2016-08-23

Format: Paperback

ISBN-13: 9781447169147

DOI: 10.1007/978-0-85729-965-9

Dimensions: 235cm x155cm

Pages: 128