先进高光谱成像技术
Advanced Hyperspectral Imaging
金敏赫   Min H. Kim
报告人照片   Min H. Kim is an associate professor of computer science at KAIST, Korea, leading the Visual Computing Laboratory. He received his Ph.D. in computer science from University College London in 2010. In addition to serving on international program committees, e.g., ACM SIGGRAPH Asia, Eurographics, and Pacific Graphics, he has worked as an associate editor of ACM Transactions on Graphics, ACM Transactions on Applied Perception, and Elsevier Computers and Graphics. His recent research interests include a wide variety of computational imaging systems and algorithms in the field of computational photography, hyperspectral imaging, BRDF acquisition, 3D imaging, and computer graphics.
  In this talk, I will provide comprehensive overviews of two advanced hyperspectral imaging methods. First, we present a novel hyperspectral image reconstruction algorithm, which overcomes the long-standing tradeoff between spectral accuracy and spatial resolution in existing compressive imaging approaches. Second, we present a novel, compact single-shot hyperspectral imaging method. It enables capturing hyperspectral images using a conventional DSLR camera equipped with just an ordinary refractive prism in front of the camera lens. Our computational imaging method reconstructs the full spectral information of a scene from dispersion over edges. Our setup requires no coded aperture mask, no slit, and no collimating optics, which are necessary for traditional hyperspectral imaging systems. It is thus very cost-effective, while still highly accurate. Our results show that our method compares well with other state-of-the-art hyperspectral imaging systems, both in terms of spectral accuracy and spatial resolution, while being orders of magnitude cheaper than commercial imaging systems.
报告时间:2018年07月30日15时00分    报告地点:西区科技实验西楼1213
报名截止日期:2018年07月30日    可选人数:30