Provides a real-time, robust implementation of Simultaneous Location And Mapping (SLAM) on mobile devices that maps and tracks based on natural features, solely using the built-in camera of the device.
Enables real-time modeling and identification of real world 3D objects using Computer Vision and provides accurate, robust tracking techniques using multiple natural features. Target applications include Augmented Reality and Indoor Navigation.
Augmented reality entails superimposing digital content on top of a view of the real world through a camera viewfinder. AR transforms your mobile device into a magic looking glass.
Provide a real-time, robust implementation of visual and inertial sensor fusion on mobile devices that maps and tracks in feature-sparse environments. Target applications include Computational Photography, Indoor Navigation and Augmented Reality.
The use of configurable and programmable hardware cores designed to accelerate high-performance image and video processing applications.
The use of automated testing of Computer Vision algorithms using robots, variable lighting, and test video sequences, to enables precise measurement of improvements in CV algorithms.