Advances in imaging and computing technologies have made wearable cameras practical and affordable. There are many commercial wearable cameras available in the market today from leading companies such as Microsoft Sensecam, Google Glass, GoPro and Pivothead. Unlike regular point and shoot cameras, these cameras provide egocentric or first person view from the perspective of the wearer. This makes these camera attractive for assistive, scene understanding and IoT (internet of things) applications.
Many problems in computer vision such as image segmentation, stereo matching, super resolution, object detection can be posed as labeling problems. The problems are often formulated using probablistic graphical models requiring specialized algorithms for large scale inference problems. Structured prediction tasks in machine learning also require similar specialized inference algorithm. Our lab is at the forefront of the research in this area with many state of the art algorithms for higher order inference problems developed by the lab members.
Autonomous driving is important not only because they will revolutionize the way we travel, but also because they represent one of the holy grails of computer vision and artificial intelligence, where machines will compete with human beings in a real unstructured environment. We are specially focussing on the challenges arising from extremly chaotic driving scenarios of the developing countries in general and India in particular. The group is also working on developing an autonomous e-rickshaw for commuting within our campus.
Our group also works on the intersection of biomedial imaging, computer vision and machine learning. Our focus is on analyzing magnetic resonance imaging (MRI) and function MRI (fMRI) scans to understand and predict various abnormalities and diseases of human brain. Specifically we are working on the image segmentation, registration and feature learning problems from such scans. Other areas of interest includes structure from motion and odometry from endoscope camera for applications in neurosurgery