Srinivasa Narasimhan



 Assistant Professor
 The Robotics Institute
 School of Computer Science
 Carnegie Mellon University

Teaching

  • Computer Vision courses at Carnegie Mellon

  • 16-421: Vision Sensors [Spring 2009] [Spring 2008]
  • 16-823: Physics-based methods in Computer vision [Fall 2008]  [Fall 2007]  [Fall 2006]  [Fall 2005]
  • 15-385(685): Undergraduate Computer Vision [Spring 2007]  [Spring 2006]  (Carnegie Mellon Blackboard )

    • Seminars

    Group
  • Sanjeev J. Koppal (5th year, PhD, defending August 09)
  • Chenyu Wu (5th year, PhD, co-advisor, defending December 09)
  • Mohit Gupta (4th year, PhD)
  • Jean-Francois Lalonde (4th year, PhD, co-advisor)
  • Pete Barnum (3rd year, PhD, co-advisor)
  • Yuandong Tian (1st year, PhD)
  • Shuntaro Yamazaki (visiting researcher, AIST, Japan)
  • Jennifer Turken (support staff)

    •

    Research

    My research interests are in computer vision and computer graphics. Primarily, I am interested in developing physics-based models and algorithms for scene interpretation in vision and real-time rendering of physical effects in graphics. Selected projects are highlighted below. Please visit my official RI webpage for a list of my publications. The sponsors for these research projects include Office of Naval Research (ONR), Defense Advanced Projects Research Agency (DARPA), National Science Foundation (NSF), and Siemens Corporate Research, Princeton (SCR).

    Illumination and Imaging

    Temporal Dithering of Illumination

    		  

    (De)Focused Illumination and Global Light Transport



    Illumination from a single outdoor image

    		  

    What do the Sun and the Sky tell us about the Camera?



    Coplanar Shadowgram Imaging

    		  


    Reciprocal Imaging with Shadow Cameras (coming soon)

      • Description
      • Videos



    Display with Water-drops

    		  


    Imaging through water (coming soon)

      • Description
      • Videos

    Assorted Pixels: Multidimensional Imaging

    		  


    DLP Photography


    Light Transport for Computer Vision

    Structured Light in Scattering Media

    		 

    Optimal Placement of Source and Camera


    Frequency Space Analysis of Rain and Snow

    		 

    The Camera as a Weather Station

    		  
       

    Vision through Fog and Haze

    		  

    Weather and Illumination Database (WILD)
       

    Light Transport for Computer Graphics

    Legendre Fluids: Fast Modeling and Rendering of Participating Media

    		 



    Acquiring Scattering Properties of Participating Media by Dilution


    Single Scattering Model for Real-time Rendering

    		 

    Rendering Multiple Scattering Effects


    Appearance Analysis

    Bone Reconstruction for Orthopedic Endoscopy

    		 

    Surface Normal Clustering for Scene Analysis


    Novel Depth Cues from Uncalibrated Near-Field Lighting

    		 

    Photometric Invariants
       

    Grants

  • ONR N00014-08-1-0330, "Photometric Methods for Scene Understanding" [2008-2011]
  • US-Israel Binational Science Foundation, "Sensing Fusion for Underwater Scene Recovery"[2007-2010]
  • NSF CAREER IIS-0643628, "Making Computer Vision Successful in Scattering Media", [2007-2011]
  • ONR N00014-07-1-0522, "IEEE/ONR Workshop on Volumetric Scattering in Vision and Graphics", [2007-2007]
  • NSF CCF-0541307, "Collaborative Research: Fast and Accurate Volumetric Rendering of Scattering Phenomena in Computer Graphics", [2006-2008]
  • ONR DURIP N00014-06-1-0762, "Instrumentation in Support of Flexible Imaging Systems and Imaging in Dispersive Media", [2006-2007]
  • ONR N00014-05-1-0188, "A Physical Approach to Optical Underwater Imaging", [2005-2007]
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