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1 March 1992 Spatiotemporal edge focusing with multiple-pixel interframe motion
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Previous work has resulted in a spatio-temporal edge focusing algorithm for computing noiseless well-localized edge maps by tracking edges in both scale space and time. As such, the algorithm was an extension of spatial edge focusing. In this paper, we show how the 1 pixel motion constraint used in the temporal tracking component of the original spatio- temporal edge focusing algorithm can be removed to allow multiple pixel motion between adjacent frames. Our new algorithm is based on a simple Hough transform computation. The final result is an edge detection technique that uses three adjacent images from some sequence to produce a well-localized noiseless edge map for the middle image. A noise model is not explicitly required. Rather, we define an authentic edge as an intensity discontinuity existing over a number of scales and being temporally connected in three adjacent images.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. S. Young and John L. Barron "Spatiotemporal edge focusing with multiple-pixel interframe motion", Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992);


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