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: reviewsthe 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 derivesscene 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. Describesthe computation of precise and accurate optical flow, and scene flow, in real-time applications. Reviews the major advances in motion estimation and motionanalysis, and the latest progress of dense optical flow algorithms. Includes pseudo code for all important computational challenges, and contains a Glossary. INDICE: Machine Vision Systems. Optical Flow Estimation. Residual Images and Optical Flow Results. Scene Flow. Motion Metrics for Scene Flow. Extensionsof Scene Flow. Conclusion and Outlook.
- ISBN: 978-0-85729-964-2
- Editorial: Springer London
- Encuadernacion: Cartoné
- Páginas: 128
- Fecha Publicación: 30/09/2011
- Nº Volúmenes: 1
- Idioma: Inglés