Computer Vision News - November 2016

Computer Vision News lists some of the great stories that we have just found somewhere else. We share them with you, adding a short comment. Enjoy! Your Face Should Be Your Username, not Your Password Our readers remember Onfido, our application of October , comparing people’s images to verify their identity. This can allow them to remotely open online bank and other accounts. Some claim that facial recognition is too weak to use for real-world, sensitive tasks; instead, this article by Nuno Moutinho suggests to use the iris of the eye for sensitive applications like banking and commerce. Is this the best way to identify individuals? Read... Computer Vision News Spotlight News 65 Virtual Reality Looks to its Adolescence Interesting article explaining why virtual reality is at a turning point, awaiting for new hardware and platforms. In the meantime, our friends at Microsoft let us try their HoloLens and we loved it . But there is more to it! Read… Open Images Dataset by Google: 9M Annotated Images A nice gift from Google, with the release of the Open Images dataset , joining the already publicly available datasets, such as ImageNet and COCO for supervised learning and YFCC100M for unsupervised learning. It includes 9 million URLs of annotated images with labels covering over 6000 categories. Together with the recently released YouTube-8M , it will be a very useful tool for the machine learning community . Thanks Google! Read… TuSimple Breaks Ten Records in Autonomous-driving Remember TuSimple ? We talked about their ADAS/autonomous-driving technology in the latest CVPR Daily. They are in the news again, owing to their performance in the KITTI/CityScapes public benchmark dataset where they swept three records in object detection, two in object tracking and four in road segmentation, totalling ten records. Read… Stochastic Resonance Improves Quality of Underwater Images How can you see in the water? Probably not as well as on the surface. Unless you are a researcher using advanced cameras and a mathematical approach called logical stochastic resonance to enhance the quality of underwater viewing. We can see through turbid seawater by removing the noise in underwater imaging! Read… Students worldwide build Open Source Self-Driving Car: The project includes challenges and cash prizes. Read…