John V. Vourvoulakis

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A fundamental problem in computer vision is finding correspondences between features in pairs of similar images. By comparing feature descriptors instead of pixel intensities, the matching capability is significantly increased. Keypoints extracted by Scale-Invariant Feature Transform (SIFT) provide superior matching ability, however, a small proportion of(More)
The hardware/software implementation of a custom vision board using minimal resources out of a reconfigurable platform is described. Demanding robotic vision applications in most cases require dedicated hardware for reliable operation. The designed system is based on a Cyclone IV Altera FPGA device that constitutes the main processing unit of the(More)
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