| Time: 2:00pm to 5:00pm, Saturday, April 11, 2009 Location: Finisar Corporation, 36 Jonspin Road, Wilmington, MA 01887 Topic: Optical Imaging Agenda: 2:00pm-2:30pm Networking Time 2:30pm-2:45pm Introduction 2:45pm-3:45pm Computational Photography: From Epsilon to Coded Photography, Professor Ramesh Raskar, Media Lab, Massachusetts Institute of Technology Abstract: Computational Photography is an emerging multi-disciplinary field that is at the intersection of optics, signal processing, computer graphics+vision, electronics, art, and online sharing in social networks. The field is evolving through three phases. The first phase was about building a super-camera that has enhanced performance in terms of the traditional parameters, such as dynamic range, field of view or depth of field. I call this Epsilon Photography. Due to limited capabilities of a camera, the scene is sampled via multiple photos, each captured by epsilon variation of the camera parameters. It corresponds to the low-level vision: estimating pixels and pixel features. The second phase is building tools that go beyond capabilities of this super-camera. I call this Coded Photography. The goal here is to reversibly encode information about the scene in a single photograph (or a very few photographs) so that the corresponding decoding allows powerful decomposition of the image into light fields, motion deblurred images, global/direct illumination components or distinction between geometric versus material discontinuities. This corresponds to the mid-level vision: segmentation, organization, inferring shapes, materials and edges. The third phase will be about going beyond the radiometric quantities and challenging the notion that a camera should mimic a single-chambered human eye. Instead of recovering physical parameters, the goal will be to capture the visual essence of the scene and analyze the perceptually critical components. I call this Essence Photography and it may loosely resemble depiction of the world after high level vision processing. It will spawn new forms of visual artistic expression and communication. In this talk, I will focus on Coded Photography. 'Less is more' in Coded Photography. By blocking light over time or space, we can preserve more details about the scene in the recorded single photograph. I will show several applications and describe emerging techniques to recover scene parameters from coded photographs. Prof. Ramesh Raskar joined the MIT Media Lab in spring 2008 as head of the Camera Culture research group. The group focuses on developing tools to help us better capture and share the visual experience. This research involves developing novel cameras with unusual optical elements, programmable illumination, digital wavelength control, and femtosecond analysis of light transport, as well as tools to decompose pixels into perceptually meaningful components. Prof. Raskar's research also involves creating a universal platform for the sharing and consumption of visual media. Prof. Raskar received his PhD from the University of North Carolina at Chapel Hill, where he introduced "Shader Lamps," a novel method for seamlessly merging synthetic elements into the real world using projector-camera based spatial augmented reality. In 2004, he received the TR100 Award from Technology Review, which recognizes top young innovators under the age of 35, and in 2003, the Global Indus Technovator Award, instituted at MIT to recognize the top 20 Indian technology innovators worldwide. He holds 35 US patents and has received four Mitsubishi Electric Invention Awards. He is currently co-authoring a book on computational photography. http://raskar.info 3:45pm-4:00pm Break 4:00pm-5:00pm aNIRS: towards ambulatory monitoring of cerebral vascular diseases, Prof. Quan Zhang, Massachusetts General Hospital, Harvard Medical School Abstract: Near-infrared spectroscopy and diffuse optical imaging (NIRS-DOI) is a new technology. Because of its noninvasive nature, it arouses more and more scientists’ interest to see if NIRS-DOI can be used to diagnose cerebral vascular diseases and women’s breast cancer. More and more papers has been published in this area. Dr. Zhang has been engaged in scientific research of NIRS-DOI since 1998 and published more than 20 papers in this topic. Today, his talk will focus on the following issues: • Basic principle of Near Infrared Spectroscopy (NIRS) and Diffuse Optical Imaging (DOI); • aNIRS: ambulatory Near Infrared Spectroscopy; • Current related projects and results; Towards ambulatory monitoring of cerebral vascular diseases; Dr. Quan Zhang joined Massachusetts General Hospital (MGH), Harvard Medical School as an assistant professor in 2007. Since 2004, he has been the director of two laboratories, i.e. Biomedical Optics Laboratory, the Center for Engineering in Medicine and Biomedical Engineering Laboratory, Neural System Group. He has also been the consultant in photon migration modeling in Intelligent Medical Devices, LLC, Cambridge, MA, and the consultant in Near-infrared (NIR) spectroscopy and imaging the director Advanced Research Technologies Inc, Montreal, Canada. Currently, his group focuses on two areas: 1) Non-invasive fast optical imaging of visual and motor processing, which aims to non-invasively monitor neural activity using methods that may be suitable for functional brain imaging in populations with developmental disorders; (2) Diffusion optical tomography (DOT) and fMRI studies of visual perception and imagery, which conducts a systematic validation of the true potential and limitations of DOT as a cognitive neuroscience tool in adults by recording simultaneously DOT and fMRI data during established visual stimulation paradigms. Prof. Zhang received his PhD from Xi'an Jiaotong University in 1998. He holds at least 5 US patents. http://www.nmr.mgh.harvard.edu/martinos/people/showPerson.php?people_id=193 Organizers: Xifeng Qian, Hongzhi Zhao, Qingwu Wang, Yong Qiao, Xueyan Zheng, Frank Fan, and Yi Qian For more information, please visit the following sites: NECINA Optics SIG: http://groups.yahoo.com/group/NECINA_SIG_Optics/ NECINA: http://www.necina.org/ |