Thomas Boesch

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A booming number of computer vision, speech recognition, and signal processing applications, are increasingly benefiting from the use of deep convolutional neural networks (DCNN) stemming from the seminal work of Y. LeCun et al. [1] and others that led to winning the 2012 ImageNet Large Scale Visual Recognition Challenge with AlexNet [2], a DCNN(More)
A high performance HW accelerator is proposed to extract and refine the Interest Points from images, by accurately calculating the Difference-of-Gaussian and using refinement algorithms from the SIFT method. Unique features of the accelerator consist in an accuracy comparable to the CDVS Test Model, reference software; in the capability to process the(More)
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