Representation of local geometry in the visual system
Biological Cybernetics
The cortex transform: rapid computation of simulated neural images
Computer Vision, Graphics, and Image Processing
Joint spatial/spatial-frequency representation
Signal Processing
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of component image velocity from local phase information
International Journal of Computer Vision
Steerable-scalable kernels for edge detection and junction analysis
Image and Vision Computing - Special issue: 2nd European Conference on Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
Multiple constraints for optical flow
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Phase-based binocular vergence control and depth reconstruction using active vision
CVGIP: Image Understanding
Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
Performance of phase-based algorithms for disparity estimation
Machine Vision and Applications - Special issue on performance evaluation
Signal Processing for Computer Vision
Signal Processing for Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Detecting Binocular Half-Occlusions: Empirical Comparisons of Five Approaches
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stability of Phase Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Sparse Feature Maps in a Scale Hierarchy
AFPAC '00 Proceedings of the Second International Workshop on Algebraic Frames for the Perception-Action Cycle
Disparity from Monogenic Phase
Proceedings of the 24th DAGM Symposium on Pattern Recognition
The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space
Journal of Mathematical Imaging and Vision
On the Choice of Band-Pass Quadrature Filters
Journal of Mathematical Imaging and Vision
Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing
Natural Computing: an international journal
Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
Reconfigurable hardware implementation of a phase-correlation stereoalgorithm
Machine Vision and Applications
A Roadmap to the Integration of Early Visual Modules
International Journal of Computer Vision
A statistical approach to sparse multi-scale phase-based stereo
Pattern Recognition
EURASIP Journal on Applied Signal Processing
Over-Parameterized Variational Optical Flow
International Journal of Computer Vision
Multi-scale 3D scene flow from binocular stereo sequences
Computer Vision and Image Understanding
Optic flow from unstable sequences through local velocity constancy maximization
Image and Vision Computing
Continuous dimensionality characterization of image structures
Image and Vision Computing
Stereoscopic Phase-Differencing: Multiscale Synthesis
SSIAI '08 Proceedings of the 2008 IEEE Southwest Symposium on Image Analysis and Interpretation
Optical flow estimation from monogenic phase
IWCM'04 Proceedings of the 1st international conference on Complex motion
Dense optical flow estimation from the monogenic curvature tensor
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Multi-scale phase-based local features
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
IEEE Transactions on Signal Processing
Shiftable multiscale transforms
IEEE Transactions on Information Theory - Part 2
Real-Time System for High-Image Resolution Disparity Estimation
IEEE Transactions on Image Processing
A phase-based approach to the estimation of the optical flow field using spatial filtering
IEEE Transactions on Neural Networks
Fine grain pipeline architecture for high performance phase-based optical flow computation
Journal of Systems Architecture: the EUROMICRO Journal
An integrated virtual environment for visual-based reaching
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Real-time architecture for a robust multi-scale stereo engine on FPGA
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
On-chip semidense representation map for dense visual features driven by attention processes
Journal of Real-Time Image Processing
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The problem of representing the visual signal in the harmonic space guaranteeing a complete characterization of its 2D local structure is investigated. Specifically, the efficacy of anisotropic versus isotropic filtering is analyzed with respect to general phase-based metrics for early vision attributes. We verified that the spectral information content gathered through channeled oriented frequency bands is characterized by high compactness and flexibility, since a wide range of visual attributes emerge from different hierarchical combinations of the same channels. We observed that constructing a multichannel, multiorientation representation is preferable than using a more compact one based on an isotropic generalization of the analytic signal. Maintaining a channeled (i.e., distributed) representation of the harmonic content results in a more complete structural analysis of the visual signal, and allows us to enable a set of ''constraints'' that are often essential to disambiguate the perception of the different features. The complete harmonic content is then combined in the phase-orientation space at the final stage, only, to come up with the ultimate perceptual decisions, thus avoiding an ''early condensation'' of basic features. The resulting algorithmic solutions reach high performance in real-world situations at an affordable computational cost.