Skip Navigation
York U: Redefine the PossibleHOME | Current Students | Faculty & Staff | Research | International
Search »FacultiesLibrariesCampus MapsYork U OrganizationDirectorySite Index
Future Students, Alumni & Visitors
1994 Technical Reports

An Optical Flow Estimation Algorithm that Uses Gabor Filters and Affine Model for Flow

Minas Spetsakis

Technical Report CS-94-06

York University

August 3, 1994

Abstract

A general method for optical flow computation is presented that uses an affine model for the flow field. The method uses a hierarchy of filters and it is stable. It can work with or without stabilizers like smoothness terms. An extreme variety of filters can be used but we found the Gabor filters to be particularly good. Care has been taken to address the issue of the differentiation and preconditioning. The method was tested on real and synthetic images and compared with other methods. The performance was excellent for images with or without discontinuities, large or subpixel flow and rotating or dilating image sequences. Many attempts have been made in adding concurrency to C++ either by extending the language or through the use of a class library. This paper reviews and analyzes some of the concurrent C++-based systems. We study the various approaches taken by these systems in adding concurrency to C++ and how these approaches interact with the object-oriented paradigm.

Download paper in PDF format.



The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.