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The Information Theory and Applications Center is dedicated to the study of information theory fundamentals and their relations to communications, computer- and life-sciences, finance, statistics, and related disciplines. The center supports both original research and educational activities in these areas. 
Tuesday, 02.14.12, 10:30 a.m - 11:30 a.m, Jacobs Hall, Room 2512 (Booker Conference Room), Seminar
Compressive Depth Acquisition Cameras: Principles and Demonstrations Vivek Goyal, MIT LIDAR systems and time-of-flight cameras use time elapsed from transmitting a pulse and receiving a reflected response, along with scanning by the illumination source or a 2D sensor array, to acquire depth maps. We introduce depth map acquisition with high spatial and range resolution using a single, omnidirectional, time-resolved photodetector and no scanning components. This opens up possibilities for 3D sensing in compact and mobile devices. Spatial resolution in our framework is rooted in patterned illumination or patterned reception. In contrast to compressive photography, the information of interest -- scene depths -- is nonlinearly mixed in the measured data. The depth map construction uses parametric signal modeling to achieve fine depth resolution and to essentially linearize the inverse problem from which spatial resolution is recovered. We have demonstrated depth map reconstruction for both near and medium-range scenes, with and without the presence of a partially-transmissive occluder. Our compressive depth acquisition camera (CoDAC) framework is an example of broader research themes of exploiting time resolution in optical imaging and identifying and exploiting structure in inverse problems. | |
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