Space-from-Time Imaging: Acquiring Reflectance and Depth with Less Optics

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• Professor Vivek K Goyal, MIT
• Monday 20 August 2012, 14:00-16:00
• Dennis Gabor Seminar Room (611), EEE Department.

If you have a question about this talk, please contact Pier Luigi Dragotti.

Traditional cameras use lenses to form an optical image of the scene and thus obtain spatial correspondences between the scene and the film or sensor array. These cameras do not sample the incident light fast enough to record any transient variations in the light field.

This talk describes space-from-time imaging—a signal processing framework in which spatial resolution comes from computationally processing samples of the response to time-varying illumination. Examples of this concept enable imaging using only omnidirectional illumination and sensing. Along with the formation of ordinary reflectance images in extraordinary configurations, we show a range sensing system that uses neither scene scanning by laser (as in LIDAR ) nor multiple sensors (as in a time-of-flight camera). These technologies depend on novel parametric signal modeling and sampling theory.

BIO : Professor Vivek K Goyal is a principal investigator in the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT). He received the B.S. degree in mathematics and the B.S.E. degree in electrical engineering (both with highest distinction) from the University of Iowa, Iowa City. He received the M.S. and Ph.D. degrees in electrical engineering from the University of California, Berkeley, where in 1998, he received the Eliahu Jury Award for outstanding achievement in systems, communications, control, or signal processing.

He was a Research Assistant in the Laboratoire de Communications Audiovisuelles at École Polytechnique Fédérale de Lausanne, Switzerland, in 1996. He worked in the Mathematics of Communications Research Department of Bell Laboratories, Lucent Technologies as an intern in 1997 and again as a Member of Technical Staff from 1998 to 2001. From 2001 to 2003 he was a Senior Research Engineer for Digital Fountain, Inc., Fremont, CA. His research interests include source coding theory, quantization theory, and practical, robust network content delivery.

Professor Goyal was awarded the 2002 IEEE Signal Processing Society Magazine Award and an NSF CAREER Award. He served on the IEEE Signal Processing Society’s 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 a forthcoming textbook available for download at FourierAndWavelets.org, and he will present a tutorial on teaching signal processing at IEEE ICASSP 2012 .

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