学术报告:Computational Spectral+Depth Imaging 计算光谱+深度成像

发布时间:2017-04-20  阅读次数:193

活动时间:2017-04-24 09:00 - 2017-04-24 10:00
活动地点:济事楼 417会议室

报告人:

    贡萨洛 R.阿尔塞 教授

    Prof. Gonzalo R. Arce

  • IEEE Fellow
  • Charles Black Evans Professor and JPMorgan-Chase Faculty
  • University of Delaware(特拉华大学), Newark, DE 19711 USA

 

邀请人:   赵生捷 教授

报告人简介:
Dr. Gonzalo R. Arce is the Charles Black Evans Professor in the Electrical and Computer Engineering Department and the JPMorgan-Chase Faculty Fellow at the Institute of Financial Services Analytics. His fields of interest include computational imaging and spectroscopy, signal processing, and the analysis and processing of massive data. He received the 2010-2011 and 2017 Nokia-Fulbright Distinguished Chair in Information and Communications Technologies.  He is a Fellow of the IEEE and the Center for Advanced Studies. He was elected member of the Arkansas Academy of Engineering. He holds over a dozen US patents and is a frequent consultant with industry. His research has been supported by the Department of Defense including ONR, ARL, ARO and DARPA, and by the Homeland Security Agency and the National Science Foundation, as well as numerous industrial organizations. He is the author or co-author of five textbooks.
 
 
内容提要:
Spectral imaging involves the sensing of a large amount of spatial information across a multitude of wavelengths. Compressive spectral imaging (CSI) captures multispectral image planes with as few as a single coded snapshot. On a different front, Time-of-Flight (ToF) imaging has gained considerable attention, due to its accuracy and speed. To date, however, these imaging modalities (CSI and ToF) have been realized and implemented by separate independent imaging sensors. This talk describes the development of a single aperture compressive spectral + depth imaging camera that employs a 3D range ToF sensor as the sensing device of a coded aperture-based compressive spectral imager. The system represents a significant improvement over existing RGB+D cameras that integrate two separate image sensors, one for RGB and another for depth, since a single aperture/single sensor is used. In addition, the observable wavelength range of the CSI device is expanded from the visible to near-IR resolving up to as many as 14 independent channels. We demonstrate the proposed ideas through real experimentation conducted on an assembled CSI+ToF testbed camera system. 

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