学　术

　　题　目：Computational Spectral+Depth Imaging

　　主讲人：Prof. Gonzalo R. Arce (IEEE Fellow, Charles Black Evans Professor and JPMorgan-Chase Faculty, University of Delaware, Newark)

　　时　间：2017年4月6日（周四）13:15

　　地　点：清水河校区科研楼科C216会议室

　　报告简介：

　　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.

　　主讲人简介：

　　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.

　　　　　　　　　　　　　　　　　　　　　电子工程学院

　　　　　　　　　　　　　　　　　　　　　2017年4月5日