A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural mapping and space-variant image processing
Neural Networks
The local structure of space-variant images
Neural Networks
Space-Variant Fourier Analysis: The Exponential Chirp Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
A review of biologically motivated space-variant data reduction models for robotic vision
Computer Vision and Image Understanding
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Disparity estimation on log-polar images and vergence control
Computer Vision and Image Understanding
Stability of Phase Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retinal vision applied to facial features detection and face authentication
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Direct feature extraction in a foveated environment
Pattern Recognition Letters
Primal sketch feature extraction from a log-polar image
Pattern Recognition Letters - Special issue: Sibgrapi 2001
Log-polar Stereo for Anthropomorphic Robots
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
A Binocular Stereo Algorithm for Log-Polar Foveated Systems
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Gradient detection in discrete log-polar images
Pattern Recognition Letters
Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
Relationship Between Phase and Energy Methods for Disparity Computation
Neural Computation
Geometry and construction of straight lines in log-polar images
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
Log-polar mapping template design: From task-level requirements to geometry parameters
Image and Vision Computing
Active, Foveated, Uncalibrated Stereovision
International Journal of Computer Vision
A Fast Joint Bioinspired Algorithm for Optic Flow and Two-Dimensional Disparity Estimation
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
A review of log-polar imaging for visual perception in robotics
Robotics and Autonomous Systems
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
A spatial variant approach for vergence control in complex scenes
Image and Vision Computing
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Despite the well known advantages that a space-variant representation of the visual signal offers, the required adaptation of the algorithms developed in the Cartesian domain, before applying them in the log-polar space, has limited a wide use of such representation in visual processing applications. In this paper, we present a set of original rules for designing a discrete log-polar mapping that allows a direct application in the log-polar domain of the algorithms, based on spatial multi-scale and multi-orientation filtering, originally developed for the Cartesian domain. The advantage of the approach is to gain, without modifications, an effective space-variance and data reduction. Such design strategies are based on a quantitative analysis of the relationships between the spatial filtering and the space-variant representation. We assess the devised rules by using a distributed approach based on a bank of band-pass filters to compute reliable disparity maps, by providing quantitative measures of the computational load and of the accuracy of the computed visual features.