Stereo Scene Flow for 3D Motion Analysis

Stereo Scene Flow for 3D Motion Analysis

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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.The most common assumption used in optical flow estimation is the brightness constancy assumption ... The aperture problem arises as a consequence of motion ambiguity when an object is viewed through an aperture, as demonstrated ... 2.2 Optical flow for the mini cooper scene of the Middlebury optical flow benchmark.

Title:Stereo Scene Flow for 3D Motion Analysis
Author: Andreas Wedel, Daniel Cremers
Publisher:Springer Science & Business Media - 2011-08-17

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