An Analog VLSI System for Stereoscopic Vision
An Analog VLSI System for Stereoscopic Vision
IEEE Micro
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Adaptive contrast gain control and information maximization
Neurocomputing
Linear demosaicing inspired by the human visual system
IEEE Transactions on Image Processing
Open or Closed Mouth State Detection: Static Supervised Classification Based on Log-Polar Signature
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Using Human Visual System modeling for bio-inspired low level image processing
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Architecture exploration for efficient data transfer and storage in data-parallel applications
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Bio-inspired color image segmentation on the GPU (BioSPCIS)
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Robust visual speakingness detection using bi-level HMM
Pattern Recognition
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
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This paper presents a model of the retina with its properties with respect to sampling, spatiotemporal filtering, color-coding and non-linearity, and their consequences on the processing of visual information. It's formalism points out the architectural and algorithmic principles of neuromorphic circuits which are known to improve compactness, consumption, robustness and efficiency, leading to direct applications in engineering science. It's biological aspect, strongly based neural and cellular descriptions makes it suitable as an investigation tool for neurobiologists, allowing the simulation of experiences difficult to set up and answering fundamental theoretical questions.