What does the retina know about natural scenes?
Neural Computation
A programmable VLSI retina for rough vision
Machine Vision and Applications
Realistic Simulation Tool for Early Visual Processing Including Space, Time and Colour Data
IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
Classification of color textures by Gabor filtering
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Coherent Computational Approach to Model Bottom-Up Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Practical implementation of LMMSE demosaicing using luminance and chrominance spaces
Computer Vision and Image Understanding
Towards a theory of early visual processing
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Fuzzy color-based approach for understanding animated movies content in the indexing task
Journal on Image and Video Processing - Color in Image and Video Processing
Multimodal focus attention and stress detection and feedback in an augmented driver simulator
Personal and Ubiquitous Computing
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Modeling visual perception for image processing
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
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A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
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ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Illumination normalization for face recognition under extreme lighting conditions
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms
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On-chip semidense representation map for dense visual features driven by attention processes
Journal of Real-Time Image Processing
Retina enhanced SURF descriptors for spatio-temporal concept detection
Multimedia Tools and Applications
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An efficient modeling of the processing occurring at retina level and in the V1 visual cortex has been proposed in [1,2]. The aim of the paper is to show the advantages of using such a modeling in order to develop efficient and fast bio-inspired modules for low level image processing. At the retina level, a spatio-temporal filtering ensures accurate structuring of video data (noise and illumination variation removal, static and dynamic contour enhancement). In the V1 cortex, a frequency and orientation based analysis is performed. The combined use of retina and V1 cortex modeling allows the development of low level image processing modules for contour enhancement, for moving contour extraction, for motion analysis and for motion event detection. Each module is described and its performances are evaluated. The retina model has been integrated into a real-time C/C++ optimized program which is also presented in this paper with the derived computer vision tools.