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

    • Seminars

    Group
  • Sanjeev J. Koppal (4th year, PhD)
  • Chenyu Wu (4th year, PhD, co-advisor)
  • Mohit Gupta (3rd year, PhD)
  • Pete Barnum (3rd year, PhD, co-advisor)
  • Shuntaro Yamazaki (visiting researcher, AIST, Japan)
  • Jennifer Turken (support staff)

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    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).

    3D Geometry From Lighting

    Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects

    		 

    Novel Depth Cues from Uncalibrated Near-Field Lighting




    Shape from Shading under Near Point Lighting and Partial views for Orthopaedic Endoscopy

    		 

    Surface Normal Clustering for Scene Analysis


    Rendering Participating Media

    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

    Underwater Imaging

    Structured Light in Scattering Media

    		 


    Optimal Placement of Source and Camera


    Vision in Bad Weather

    Spatio-temporal Frequency Analysis for Removing Rain and Snow from Videos

    		 

    Shedding Light on the Weather

    		  
       

    Vision through Fog and Haze

    		  

    Weather and Illumnination Database (WILD)
       

    Sensing and Appearance Analysis

    Photometric Invariants

    		  

    Assorted Pixels
       

    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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