Digital Signal Processing
A representation for visual information with application to machine vision
A representation for visual information with application to machine vision
Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive Filters for Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affine Invariant Texture Segmentation and Shape from Texture by Variational Methods
Journal of Mathematical Imaging and Vision
A Group-Theoretic Construction with Spatiotemporal Wavelets for the Analysis of Rotational Motion
Journal of Mathematical Imaging and Vision
Frequency Domain Analysis of Translations with Piecewise Cubic Trajectories
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computers and Electrical Engineering
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As a step towards the early measurement of visual primitives, the authors outline design criteria for the extraction of orientation and velocity information, and present a variety of tools useful in the construction of simple linear filters. A hierarchical parallel-processing scheme is used in which nodes compute a weighted sum of inputs from within a small spatio-temporal neighborhood. The resulting scheme is easily analyzed and provides mechanisms sensitive to narrow ranges of both image velocity and orientation. The hierarchical approach in combination with separability in the first levels yields an efficient implementation.