Stereo Scene Flow for 3D Motion Analysis
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 |
You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.
Once you have finished the sign-up process, you will be redirected to your download Book page.
How it works:- 1. Register a free 1 month Trial Account.
- 2. Download as many books as you like (Personal use)
- 3. Cancel the membership at any time if not satisfied.
