/Illumination and Imaging Lab

Illumination and Imaging Lab

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The Illumination and Imaging (ILIM) Laboratory at the Robotics Institute is dedicated to the study of light transport and the development of novel illumination and imaging technologies. The laboratory is part of the broader computer vision and computer graphics groups at Carnegie ellon. Our research is motivated by applications in the areas of digital imaging, computer vision, computer graphics, displays, medical imaging and robotics.

Please visit the website for the lab for detailed information about research projects and 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).

Displaying 22 Publications
Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequences
Jean-Francois Lalonde, Alexei A. Efros and Srinivasa G. Narasimhan

Journal Article, Carnegie Mellon University, ACM Transactions on Graphics (SIGGRAPH Asia 2009), Vol. 28, No. 5, December, 2009
Estimating Natural Illumination from a Single Outdoor Image
Jean-Francois Lalonde, Alexei A. Efros and Srinivasa G. Narasimhan

Conference Paper, IEEE International Conference on Computer Vision, October, 2009
Shadow Cameras: Reciprocal Views from Illumination Masks
Sanjeev Jagannatha Koppal and Srinivasa G. Narasimhan

Conference Paper, ICCV 2009, September, 2009
A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes
Chenyu Wu, Srinivasa G. Narasimhan and Branislav Jaramaz

Journal Article, Carnegie Mellon University, International Journal of Computer Vision, February, 2009
What Do the Sun and Sky Tell Us About the Camera?
Jean-Francois Lalonde, Srinivasa G. Narasimhan and Alexei A. Efros

Tech. Report, CMU-RI-TR-09-04, Robotics Institute, Carnegie Mellon University, January, 2009
Temporal Dithering of Illumination for Fast Active Vision
Srinivasa G. Narasimhan, Sanjeev Jagannatha Koppal and Shuntaro Yamazaki

Conference Paper, European Conference on Computer Vision, October, 2008
Shape Reconstruction from Endoscopic Images
Chenyu Wu, Srinivasa G. Narasimhan and Branislav Jaramaz

Conference Paper, 8th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS' 08), June, 2008
What does the sky tell us about the camera?
Jean-Francois Lalonde, Srinivasa G. Narasimhan and Alexei A. Efros

Conference Paper, European Conference on Computer Vision, January, 2008
Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects
Shuntaro Yamazaki, Srinivasa G. Narasimhan, Simon Baker and Takeo Kanade

Conference Paper, International Conference on Computer Vision (ICCV), October, 2007
Shape-from-Shading under Near Point Lighting and Partial views for Orthopedic Endoscopy
Chenyu Wu, Srinivasa G. Narasimhan and Branislav Jaramaz

Conference Paper, Workshop on Photometric Analysis For Computer Vision (PACV 2007), October, 2007
Spatio-Temporal Frequency Analysis for Removing Rain and Snow from Videos
Peter Barnum, Takeo Kanade and Srinivasa G. Narasimhan

Conference Paper, Workshop on Photometric Analysis For Computer Vision (PACV), in conjunction with ICCV, October, 2007
On Using Shadowgrams for Visual Hull Reconstruction
Shuntaro Yamazaki, Srinivasa G. Narasimhan, Simon Baker and Takeo Kanade

Tech. Report, CMU-RI-TR-07-29, Robotics Institute, Carnegie Mellon University, August, 2007
Structured light methods for underwater imaging: light stripe scanning and photometric stereo
Srinivasa G. Narasimhan and S.K. Nayar

Conference Paper, Proceedings of 2005 MTS/IEEE OCEANS, Vol. 3, pp. 2610 - 2617, September, 2005
A Class of Photometric Invariants: Separating Material from Shape and Illumination
Srinivasa G. Narasimhan, Visvanathan Ramesh and Shree Nayar

Conference Paper, Proceedings of the Ninth IEEE International Conference on Computer Vision (ICCV '05), Vol. 2, pp. 1387 - 1394, October, 2003
Interactive Deweathering of an Image using Physical Models
Srinivasa G. Narasimhan and Shree Nayar

Conference Paper, IEEE IEEE Workshop on Color and Photometric Methods in Computer Vision, In Conjunction with ICCV, October, 2003
Contrast Restoration of Weather Degraded Images
Srinivasa G. Narasimhan and Shree K. Nayar

Journal Article, Carnegie Mellon University, IEEE PAMI, Vol. 25, No. 6, pp. 713 - 724, June, 2003
Shedding Light on the Weather
Srinivasa G. Narasimhan and Shree K Nayar

Conference Paper, Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 665 - 672, June, 2003
Polarization-based vision through haze
Yoav Y Schechner, Srinivasa G. Narasimhan and Shree K Nayar

Journal Article, Carnegie Mellon University, Applied Optics, Vol. 42, No. 3, January, 2003
Instant Dehazing of Images Using Polarization
Yoav Y Schechner, Srinivasa G. Narasimhan and Shree K Nayar

Conference Paper, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 325 - 332, June, 2001
Removing Weather Effects from Monochrome Images
Srinivasa G. Narasimhan and Shree K Nayar

Conference Paper, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, pp. 186 - 193, June, 2001
Chromatic Framework for Vision in Bad Weather
Srinivasa G. Narasimhan and Shree K Nayar

Conference Paper, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 598 - 605, June, 2000
Vision in Bad Weather
Shree K Nayar and Srinivasa G. Narasimhan

Conference Paper, The Proceedings of the Seventh IEEE International Conference on Computer Vision, Vol. 2, pp. 820 - 827, September, 1999
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