MIT Media Lab, E14-244
Time-of-flight (ToF) cameras are fast becoming the method of choice for depth sensing in a wide range of applications. Several low cost and compact ToF systems are available as commodity devices, including the Microsoft Kinect. A major problem faced by ToF sensors is multipath interference (MPI) due to interreflections and scattering. MPI often results in large depth errors, especially in enclosed scenes and in fog and smoke. I will present our recent work on mitigating the multipath problem by using high frequency (spatial and temporal) illumination. I will also talk about designing depth imaging systems that deal with photon noise due to strong ambient illumination, and thus, can reliably work in outdoor settings.
Joint work with: Shree Nayar, Qi Yin, Matthias Hullin and Jaime Martin
Mohit Gupta is an associate research scientist in the CAVE lab at Columbia University. He received a BTech. degree in computer science from Indian Institute of Technology Delhi in 2003, an MS from Stony Brook University in 2005 and a PhD from the Robotics Institute, Carnegie Mellon University in 2010. Mohit’s research interests are broadly in computer vision, computational imaging and illumination. His focus is on designing high capability computational cameras with the ultimate goal of building computer vision systems that perform reliably `in the wild’, i.e., in challenging real-world scenarios.
Host/Chair: Camera Culture