Space variant image processing
International Journal of Computer Vision
First order optic flow from log-polar sampled images
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Dynamic Vergence Using Log-Polar Images
International Journal of Computer Vision
A review of biologically motivated space-variant data reduction models for robotic vision
Computer Vision and Image Understanding
Rapid Anisotropic Diffusion Using Space-Variant Vision
International Journal of Computer Vision
Robot Vision
Disparity estimation on log-polar images and vergence control
Computer Vision and Image Understanding
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Log-polar Stereo for Anthropomorphic Robots
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Disparity Component Matching for Visual Correspondence
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Markov Random Fields with Efficient Approximations
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Real-Time Variable Sampling Technique: DIEM
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Enhancing videoconferencing using spatially varying sensing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Do you see what eyes see?: implementing inattentional blindness
Lecture Notes in Computer Science
Geometry and construction of straight lines in log-polar images
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
Attention can improve a simple model for object recognition
Image and Vision Computing
Generating Sequence of Eye Fixations Using Decision-Theoretic Attention Model
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
Cyclic mathematical morphology in polar-logarithmic representation
IEEE Transactions on Image Processing
Towards a Spatial Model for Humanoid Social Robots
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
From pixels to objects: enabling a spatial model for humanoid social robots
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A review of log-polar imaging for visual perception in robotics
Robotics and Autonomous Systems
A quantitative comparison of speed and reliability for log-polar mapping techniques
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Pattern Recognition Letters
Depth from vergence and active calibration for humanoid robots
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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Foveation and stereopsis are important features on active vision systems. The former provides a wide field of view and high foveal resolution with low amounts of data, while the latter contributes to the acquisition of close range depth cues. The log-polar sampling has been proposed as an approximation to the foveated representation of the primate visual system. Although the huge amount of stereo algorithms proposed in the literature for conventional imaging geometries, very few are shown to work with foveated images sampled according to the log-polar transformation. In this paper we present a method to extract dense disparity maps in real-time from a pair of log-mapped images, with direct application to active vision systems.