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OverviewThis 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. Full Product DetailsAuthor: Andreas Wedel , Daniel CremersPublisher: Springer London Ltd Imprint: Springer London Ltd Edition: 2011 ed. Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.383kg ISBN: 9780857299642ISBN 10: 0857299646 Pages: 128 Publication Date: 17 August 2011 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Awaiting stock ![]() The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you. Table of ContentsMachine Vision Systems.- Optical Flow Estimation.- Residual Images and Optical Flow Results.- Scene Flow.- Motion Metrics for Scene Flow.- Extensions of Scene Flow.- Conclusion and Outlook.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |