| 书目名称 | Stereo Scene Flow for 3D Motion Analysis | | 编辑 | Andreas Wedel,Daniel Cremers | | 视频video | | | 概述 | Describes the computation of precise and accurate optical flow, and scene flow, in real-time applications.Reviews the major advances in motion estimation and motion analysis, and the latest progress o | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2011 | | 关键词 | 3D Reconstruction; Energy Minimization; Optical Flow; Scene Flow; Stereo Flow; Stereo Motion; Structure fr | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-85729-965-9 | | isbn_softcover | 978-1-4471-6914-7 | | isbn_ebook | 978-0-85729-965-9 | | copyright | Springer-Verlag London Limited 2011 |
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发表于 2025-3-21 19:35:33
