Computational Photography

    Wednesday, 20 November

    14:15 - 16:00

    Convention Hall B

    Computational and Compressive Displays

    Computational photography has become an increasingly active area of
    research within the computer graphics community. Within the few last
    years, the amount of research has grown tremendously with dozens of
    published papers per year in a variety of vision, optics, and graphics
    venues. A similar trend can be seen in the emerging field of
    computational displays - spurred by the widespread availability of
    precise optical and material fabrication technologies, the research
    community has begun to investigate the joint design of display optics
    and computational processing. In this talk I will highlight recent
    work on computational and compressive displays to achieve glasses-free
    3D effects, high dynamic range, and superresolution.

    Wolfgang Heidrich, King Abdullah University of Science and Technology and University of British Columbia

    PiCam: An Ultra-Thin High Performance Monolithic Camera Array

    We present PiCam, a thin monolithic camera array that captures light fields and synthesizes high resolution images along with scene depth, through integrated parallax detection and superresolution. The camera is passive, supporting both stills and video, low light capable, and small enough to be included in mobile devices including smartphones.

    Kartik Venkataraman, Pelican Imaging Corporation
    Dan Lelescu, Pelican Imaging Corporation
    Jacques Duparre, Pelican Imaging Corporation
    Andrew McMahon, Pelican Imaging Corporation
    Gabriel Molina, Pelican Imaging Corporation
    Priyam Chatterjee, Pelican Imaging Corporation
    Robert Mullis, Pelican Imaging Corporation
    Shree Nayar, Columbia University

    Coded Time of Flight Cameras: Sparse Deconvolution to Address Multipath Interference and Recover Time Profiles

    Time of flight cameras produce real-time range maps at a relatively
    low cost using continuous wave amplitude modulation and demodulation. In this paper, we address the open problem of multipath interference and time profile generation. Our technique hinges on a sparsity-based deconvolution.

    Achuta Kadambi, Massachusetts Institute of Technology
    Refael Whyte, University of Waikato
    Ayush Bhandari, Massachusetts Institute of Technology
    Lee Streeter, University Of Waikato
    Christopher Barsi, Massachusetts Institute of Technology
    Adrian Dorrington, University Of Waikato
    Ramesh Raskar, Massachusetts Institute of Technology