Artificial Intelligence

Oculus has been working on the concept of hand tracking from quite some time now. The idea was sometimes dismissed as impractical by some and difficult by others. Therefore it was quite surprising for many when Oculus announced that they have created the hand tracking software and that it will be rolled out through the Oculus Quest next year. The tech is the brainchild of Facebook Reality Labs [1] and Oculus [2] , who worked together to develop the state of the art, one of the only completely articulated hand tracking [3] system for Virtual Reality [4] that doesn’t use any kind of assistance from the expensive hardware or sensors. Conventionally the technology has had always relied on the Depth Sensors Specialized Gloves Cables etc. Points Detection with monochromatic Cameras How it is Better than Everything that came Before The new tech has many exciting things for a consumer of VR technologies. The new Oculus headset will be free of any cable attachments and will be the first ...

Single image super-resolution (SISR) is a common and challenging vague problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions. To solve the SISR problem, recently powerful deep learning algorithms have been employed and achieved the state-of-the-art performance. Diagram showing Super Resolution The end goal is to recover the high resolution image, which one can resample depending on the input images and imaging model. It is very important for the imaging model for the super resolution to be accurate. An incorrect modeling can degrade the image quality. Deep learning can be easily applied to perform the Super resolution rather than using the traditional approach of using images from multiple cameras or video sequence. Applications of Super Resolution A high resolution image is of utmost importance in the field of medical imaging for diagnosis of any healthy issues. Other fields requiring the execution of super resolution imaging incl...