Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasize...

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Bibliographic Details

Main Author:	Fleet, David J. (Author)
Format:	Electronic eBook
Language:	English
Published:	Boston, MA Springer US 1992
Series:	The Springer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors 169
Subjects:	Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Computer science Artificial intelligence Computer graphics Control engineering Robotics Mechatronics Bildverarbeitung Geschwindigkeitsmessung Bewegung Hochschulschrift
Online Access:	BTU01 Volltext
Summary:	Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion. The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception
Physical Description:	1 Online-Ressource (XIII, 203 p)
ISBN:	9781461536482
DOI:	10.1007/978-1-4615-3648-2