"Image understanding (IU) is the research area concerned with the design and experimentation of computer systems that integrate explicit models of a visual problem domain with one or more methods for extracting features from images and one or more methods for matching features with models using a control structure. Given a goal, or a reason for looking at a particular scene, these systems produce descriptions of both the images and the world scenes that the images represent."
– Image Understanding, by J.K. Tsotos. In Encyclopedia of Artificial Intelligence. Stuart C. Shapiro, editor. 1987. New York: John Wiley & Sons.
Every time North Korea launches a missile, experts pore over photographs and videos to learn more about the country's weapons capabilities. If you know the video scale and the frame rate, you can determine the position-time data for a moving object. North Korea identified the missile as the Hwasong-14, which is believed to have a length of 18 meters (although it could be 16). If you know the camera's angular field of view, you could estimate the missile's altitude.
Rumours have long suggested that Apple will have to radically redesign the home button and TouchID fingerprint sensor in the next phone, because Apple intends to get rid of the bezels around the side of the screen where it sits at the moment. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car ...
'We predict the OLED model won't support fingerprint recognition, reasons being: the full-screen design doesn't work with existing capacitive fingerprint recognition, and the scan-through ability of the under-display fingerprint solution still has technical challenges' He also claims the last minutes change will not mean delays. 'As the new OLED iPhone won't support under-display fingerprint recognition, we now do not expect production ramp-up will be delayed again (we previously projected the ramp-up would be postponed to late October or later).' The HD video claims to show an iPhone 8 dummy unit, providing a 360-degree look at the smartphone. The video was shared with DailyMail.com The video appears to confirm that the iPhone 8 will feature a vertical dual-lens camera that won't sit flush with the device As well as the hands-on look at the device, the video also uses a ruler to show the dimensions of the phone.
A few notable exceptions, like DeepMind's recently released Kinetics dataset, try to alleviate this by focusing on shorter clips, but since they show high-level human activities taken from YouTube videos, they fall short of representing the simplest physical object interactions that will be needed for modeling visual common sense. To generate the complex, labelled videos that neural networks need to learn, we use what we call "crowd acting". Predicting the textual labels from the videos therefore requires strong visual features that are capable of representing a wealth of physical properties of the objects and the world. The videos show human actors performing generic hand gestures in front of a webcam, such as "Swiping Left/Right," "Sliding Two Fingers Up/Down," or "Rolling Hand Forward/Backward."
The nation's top-level intelligence office, the Director of National Intelligence, wants to find "the most accurate unconstrained face recognition algorithm." asks a posting on challenge.gov The goal of the Face Recognition Prize Challenge is to improve core face recognition accuracy and expand the breadth of capture conditions and environments suitable for successful face recognition. The government noted that there has been "enormous research" done in the field, and it wants "to know whether this rich vein of research has produced advancements in face recognition accuracy." The most accurate algorithms submitted to the government for the contest are eligible to split a pot of $50,000, according to the contest rules.
A research team led by Professor Hoi-Jun Yoo of the Department of Electrical Engineering has developed a semiconductor chip, CNNP (CNN Processor), that runs AI algorithms with ultra-low power, and K-Eye, a face recognition system using CNNP. To accomplish this, the research team proposed two key technologies: an image sensor with "Always-on" face detection and the CNNP face recognition chip. The face detection sensor combines analog and digital processing to reduce power consumption. The second key technology, CNNP, achieved incredibly low power consumption by optimizing a convolutional neural network (CNN) in the areas of circuitry, architecture, and algorithms.
Currently, the process of examination involves taking tissue samples from the margin of the operated area, freezing them with liquid nitrogen, sectioning them to thin slices, and sending them to a lab for examination. But the diagnostic method devised by the researchers at Lehigh University uses advanced imaging techniques and artificial intelligence algorithms to speed up the process and enable real-time scanning and evaluation of the operated margin without the need for extracting tissues. "The process takes a large number of images, and labels the types of tissue in the sample," said Sharon Huang, associate professor of computer science and engineering at Lehigh. The researchers trained the algorithms with a large number of OCM images obtained from the patients, and tested the results against those obtained from the histopathological analysis of the same patients.
South Wales Police didn't provide details about the nature of the arrest, presumably because it's an ongoing case. Back in April, it emerged that South Wales Police planned to scan the faces "of people at strategic locations in and around the city centre" ahead of the UEFA Champions League final, which was played at the Millennium Stadium in Cardiff on June 3. "It was a local man and unconnected to the Champions League," a South Wales Police spokesperson told Ars. We know from the request for tender published by the South Wales Police, however, that the man's face was probably included in the force's "Niche Record Management system," which contains "500,000 custody images."
The process begins after customers check in for their flights, go through security and arrive at their gates. Travelers will step up to a camera at a Self-Boarding station, where they will have their photos taken. CBP will match the photo with travelers' passport, visa or immigration documentation. A message indicating the photo has been verified will flash on a screen, and customers will then be allowed onto the jet bridge.