DocumentCode
2992731
Title
Motion-vision architectures
Author
Narathong, Chiewcharn ; Inigo, R.M. ; McVey, Eugene
Author_Institution
Dept. of Electr. Eng., Wisconsin Univ., Platteville, WI
fYear
1988
fDate
5-9 Jun 1988
Firstpage
411
Lastpage
416
Abstract
A fast tracking algorithm is used to determine displacements of points (pixels) on object surfaces between frames, a sequence of image frames representing a time-varying scene. The displacement is represented by a four-dimension vector whose elements are two-dimensional translation, rotation, rotational angle on the x -y plane, and scaling factor (zoom parameter). The algorithm was developed in conjunction with research on sensors for machine vision with biological vision features. The proposed sensor has two configurations: a uniform rectangular grid and a nonuniform logarithmic spiral grid. The rectangular grid is very well suited to translational motion in 2-D, whereas the logarithmic spiral grid has been proven to be appropriate for rotation and scaling. The algorithm developed utilizes both configurations for estimating 3-D motion
Keywords
computer vision; parallel architectures; biological vision features; computer vision; fast tracking algorithm; machine vision; motion-vision architecture; parallel architectures; rotation; rotational angle; scaling factor; time-varying scene; translation; zoom parameter; Biological system modeling; Biomedical optical imaging; Biosensors; Layout; Motion estimation; Optical computing; Optical distortion; Pixel; Retina; Spirals;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location
Ann Arbor, MI
ISSN
1063-6919
Print_ISBN
0-8186-0862-5
Type
conf
DOI
10.1109/CVPR.1988.196268
Filename
196268
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