Phase-based disparity measurement
CVGIP: Image Understanding
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scanners for visualizing activity of analog VLSI circuitry
Analog Integrated Circuits and Signal Processing
Phase-based binocular vergence control and depth reconstruction using active vision
CVGIP: Image Understanding
An analog VLSI neural network for phase-based machine vision
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
An Analog VLSI Computational Engine for Early Vision Tasks
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Biologically Motivated Approach to Face Recognition
IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
Biologically Motivated Approach to Face Recognition
IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
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We describe a 25x25 pixel image sensor which spatially filters a set of input currents supplied by an array of phototransistors by two orientation selective image filters. The filters are similar to even and odd Gabor filters, which have been used to model the receptive fields of neurons in the visual cortex. The circuit architecture implementing the image filter consists of two resistive networks which are coupled by transconductance amplifiers. The tuned orientation can be steered and the filter response scaled by adjusting the conductances of the resistors and gains of the transconductance amplifiers. The architecture implemented here is a 2D extension of a previous 1D architecture with some modifications which enable one chip to implement filters of arbitrary orientation.