Stereo Scene Flow for 3D Motion Analysis
Seiten
2016
|
Softcover reprint of the original 1st ed. 2011
Springer London Ltd (Verlag)
978-1-4471-6914-7 (ISBN)
Springer London Ltd (Verlag)
978-1-4471-6914-7 (ISBN)
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. Features: reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms;
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.
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.
Machine 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.
| Erscheinungsdatum | 18.08.2022 |
|---|---|
| Zusatzinfo | 60 Illustrations, color; 14 Illustrations, black and white; IX, 128 p. 74 illus., 60 illus. in color. |
| Verlagsort | England |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | 3D Reconstruction • Energy Minimization • optical flow • scene flow • Stereo Flow • Stereo Motion • Structure from Motion • Visual Kinaesthesia |
| ISBN-10 | 1-4471-6914-X / 144716914X |
| ISBN-13 | 978-1-4471-6914-7 / 9781447169147 |
| Zustand | Neuware |
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