Jagdish Sabarad

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—Among the many object recognition models in computer vision, the recently proposed biologically inspired models, based on models of the visual cortex, have assumed significance. These models, called HMAX, apply Gabor filters at different positions and scales and perform alternate template matching (S layers) and max pooling operations (C layers) to build(More)
Recently significant advances have been achieved in understanding the visual information processing in the human brain. The focus of this work is on the design of an architecture to support HMAX, a widely accepted model of the human visual pathway. The computationally intensive nature of HMAX and wide applicability in real-time visual analysis application(More)
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