Computer Vision, Graphics, and Image Processing
The Computation of Visible-Surface Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic Neighborhood Operators
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Three-Frame Algorithm for Estimating Two-Component Image Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object discrimination based on depth-from-occlusion
Neural Computation
Distributed representation and analysis of visual motion
Distributed representation and analysis of visual motion
Steerable-Scalable Kernels for Edge Detection and Junction Analysis
ECCV '92 Proceedings of the Second European Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Computing stereo disparity and motion with known binocular cell properties
Neural Computation
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Many representations in early vision can be constructed by performing orientation analysis along several sampling dimensions. Texture is often oriented in space, motion is oriented in space-time, and stereo is oriented in space-disparity. In these modalities, we can construct distributed representations with oriented energy measures used in models of biological vision. Surface models of orientation, velocity, and disparity can easily be fit to distributed representations of texture, motion, and stereo by combining tools of orientation analysis and regularization. We describe base representation construction and model fitting processes in these domains.