Research

Researcher @ Intel Labs

At Intel labs I have been working on various multi-camera and light field capture systems & algorithms. My team worked on the Intel RealSense snapshot technology from research to prototype to helping the business unit productize as part of Dell Iconic tablets. I delivered the RGB-D segmentation and accurate 3-D measurement algorithms. My intern developed background cleaning and fusion algorithms for these cameras. I've put together multiple cinematic experiences and applications using the algorithms. Currently, I am exploring traditional and deep learning based algorithms for multi-camera, light fields and other novel camera systems towards creative editing effects and immersive displays.

Research @ University of Delaware

My PhD research was focused on scene understanding using RGB and depth data from various passive, active or hybrid camera systems. Using both texture and structure information allowed for algorithms that could answers questions about the scenes and objects, such as

What objects do I see in this scene? Which objects do I already know? Can I update my knowledge about the objects I knew and learn new ones? Is this an object I can sit on? Which surface of this object is useful for sitting? Where can I place things on, on this object? I had only seen chairs before, but I can recognize that a sofa is also Sittable. Can I add that to my canonical model of sittable class?Where am I? Is this a kitchen or living room? Where am I? Which place is it?

Camera systems

I've worked on various stereo & hybrid multi-camera systems combining different resolutions, active depth sensors, flash based projectors.