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Stereo Scene Flow for 3D Motion Analysis

Andreas Wedel, Daniel Cremers
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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.
      Format: CONTRIBUTORS: Andreas Wedel, Daniel Cremers EAN: 9780857299642 COUNTRY: United Kingdom PAGES: WEIGHT: 383 g HEIGHT: 235 cm
      PUBLISHED BY: Springer London Ltd DATE PUBLISHED: 2011-08-17 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition WIDTH: 155 cm SPINE:

      Book Themes:

      Pattern recognition, Computer vision

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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.
      Format: CONTRIBUTORS: Andreas Wedel, Daniel Cremers EAN: 9780857299642 COUNTRY: United Kingdom PAGES: WEIGHT: 383 g HEIGHT: 235 cm
      PUBLISHED BY: Springer London Ltd DATE PUBLISHED: 2011-08-17 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition WIDTH: 155 cm SPINE:

      Book Themes:

      Pattern recognition, Computer vision

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      Be the first to write a review
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