IMAGE BESTWill event-cameras dominate computer vision?AMMJENACIONAL
Dr. Ryad Benosman, a professor at University of Pittsburgh believes a huge shift is coming to how we capture and process images in computer vision applications. He predicts that event-based (or, more broadly, neuromorphic) vision sensors are going to dominate in the future. Dr. Benosman will be a keynote speaker at this year's Embedded Vision Summit . EETimes published an interview with him; some excerpts below. According to Benosman, until the image sensing paradigm is no longer useful, it holds back innovation in alternative technologies. The effect has been prolonged by the development of high–performance processors such as GPUs which delay the need to look for alternative solutions. “Why are we using images for computer vision? That’s the million–dollar question to start with,” he said. “We have no reasons to use images, it’s just because there’s the momentum from history. Before even having cameras, images had momentum.” Benosman argues, image camera–based techniques for com