"Compressive Depth Acquisition Cameras: Principles and Demonstrations"

Vivek Goyal, Esther and Harold E. Edgerton Associate Professor, ECE, MIT

April 16th (Monday), 10:00am
Harold Frank Hall (HFH), Room 4164 (ECE Conference Room)

LIDAR systems and time-of-flight cameras use time elapsed from transmitting a pulse to receiving a reflected response, along with scanning by the illumination source or a 2D sensor array, to acquire depth maps. We introduce a method for compressive acquisition of scene depth with high spatial and range resolution using a single, omnidirectional, time-resolved photodetector and no scanning components. This opens up possibilities for accurate and high-resolution 3D sensing using compact and mobile devices.

In contrast to previous compressive imaging, the information of interest — scene depths — is nonlinearly mixed in the measured data. Our framework introduces a way to mitigate this nonlinearity. The reconstruction relies on parametric signal modeling of the impulse responses of piecewise-planar scenes. We use parametric deconvolution to achieve much finer depth resolution than dictated by the illumination pulse width and detector bandwidth alone. The spatial resolution is rooted in patterned illumination or patterned reception followed by decoupling of the inverse problems of range estimation and spatial resolution recovery during computational processing.

Our compressive depth acquisition camera (CoDAC) framework is an example of broader research themes of exploiting time resolution in optical imaging and developing new analysis techniques for inverse problems.

About Vivek Goyal:

Vivek Goyal received the B.S. degree in mathematics and the B.S.E. degree in electrical engineering from the University of Iowa, where he received the John Briggs Memorial Award for the top undergraduate across all colleges. He received the M.S. and Ph.D. degrees in electrical engineering from the University of California, Berkeley, where he received the Eliahu Jury Award for outstanding achievement in systems, communications, control, or signal processing.

His previous positions include Member of Technical Staff in the Mathematics of Communications Research Department of Bell Laboratories, Lucent Technologies; and Senior Research Engineer for Digital Fountain, Inc., Fremont, CA. His research interests include source coding theory, quantization, sampling, and computational imaging.

Professor Goyal was awarded the IEEE Signal Processing Society Magazine Award and an NSF CAREER Award, and his students have received various thesis and conference best paper awards. He served on the IEEE Signal Processing SocietyĆ­s Image and Multiple Dimensional Signal Processing Technical Committee, is a permanent Co-chair of the SPIE Wavelets and Sparsity conference series, and is a TPC Co-Chair of the IEEE International Conference on Image Processing 2016. He is a co-author of forthcoming textbooks available for download at, and he will present tutorials on teaching signal processing at ICASSP 2012, EUSIPCO 2012, and ICIP 2012.

Hosted by: Professor U. Madhow