Matthew P. O'Toole

Robotics Institute & Computer Science Department
School of Computer Science
Carnegie Mellon University

Status:Assistant Professor
Email:mpotoole [at] cmu [dot] edu
Office:Smith Hall, Rm. 215, 4800 Forbes Ave.
Pittsburgh, Pennsylvania 15213

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Hi there! I am an Assistant Professor with the Robotics Institute and Computer Science Department in the School of Computer Science at Carnegie Mellon University. My research interests span many topics across computer graphics and computer vision, but I'm particularly interested in computational imaging: a field that combines optics, electronics, and computational processing to capture or display new forms of visual information.

Prior to joining CMU, I was a Banting Postdoctoral Scholar with the Department of Electrical Engineering at Stanford University, and received my Ph.D. in Computer Science at the University of Toronto. My thesis titled "Optical Linear Algebra for Computational Light Transport" received the ACM SIGGRAPH Outstanding Thesis Honourable Mention award in 2017. My work was also the recipient of a couple of runner-up best paper awards at ICCV 2007 and CVPR 2014, and best demo awards at CVPR 2015 and ICCP 2015.

Publications  [Google Scholar]

Single-Photon 3D Imaging with Deep Sensor Fusion

David B. Lindell, Matthew O'Toole, Gordon Wetzstein. ACM SIGGRAPH, 2018.
Project page

Tracking Multiple Objects Outside the Line of Sight using Speckle Imaging

Brandon M. Smith, Matthew O'Toole, Mohit Gupta. Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight)
Project page

Towards Transient Imaging at Interactive Rates with Single-Photon Sensors

David B. Lindell, Matthew O'Toole, Gordon Wetzstein. International Conference on Computational Photography (ICCP), 2018.
Project page

Confocal Non-Line-of-Sight Imaging Based on the Light Cone Transform

Matthew O'Toole, David B. Lindell, Gordon Wetzstein. Nature, 2018.
Project page

Reconstructing Transient Images from Single-Photon Sensors

Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein. Computer Vision and Pattern Recognition (CVPR), 2017. (Spotlight)
Project page

Primal-Dual-Coding CMOS Image Sensor Architecture

Navid Sarhangnejad, Hyunjoong Lee, Nikola Katic, Matthew O'Toole, Kiriakos N. Kutulakos, Roman Genov. International Image Sensor Workshop (IISW), 2017.
Paper

Ph.D. Thesis: Optical Linear Algebra for Computational Light Transport

Matthew O'Toole. University of Toronto, 2016. (Awarded "ACM SIGGRAPH Outstanding Thesis, Honourable Mention")
Thesis (35.4 MB)

3D Shape and Indirect Appearance by Structured Light Transport

Matthew O'Toole, John Mather, Kiriakos N. Kutulakos. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
Paper

Homogeneous Codes for Energy-Efficient Illumination and Imaging

Matthew O'Toole, Supreeth Achar, Srinivasa G. Narasimhan, Kiriakos N. Kutulakos. ACM SIGGRAPH, 2015. (Awarded "Best Demo" at ICCP 2015 and CVPR 2015)
Project page
Episcan3D

Defocus Deblurring and Superresolution for Time-of-Flight Depth Cameras

Lei Xiao, Felix Heide, Matthew O'Toole, Andreas Kolb, Matthias B. Hullin, Kiriakos N. Kutulakos, Wolfgang Heidrich. Computer Vision and Pattern Recognition (CVPR), 2015.
Project page

Transport-aware imaging

Kiriakos N. Kutulakos and Matthew O'Toole. SPIE OPTO, 2015. (Invited paper)
Paper

Temporal Frequency Probing for 5D Transient Analysis of Global Light Transport

Matthew O'Toole, Felix Heide, Lei Xiao, Matthias B. Hullin, Wolfgang Heidrich, Kiriakos N. Kutulakos. ACM SIGGRAPH, 2014.
Project page

Course: Computational Cameras and Displays

Matthew O'Toole and Gordon Wetzstein. ACM SIGGRAPH Course, 2014.
Course page

3D Shape and Indirect Appearance by Structured Light Transport

Matthew O'Toole, John Mather, Kiriakos N. Kutulakos. Computer Vision and Pattern Recognition (CVPR), 2014. (Oral) (Awarded "Best Paper Honourable Mention")
Project page

Decomposing Global Light Transport using Time of Flight Imaging

Di Wu, Andreas Velten, Matthew O'Toole, Belen Masia, Amit Agrawal, Qionghai Dai, Ramesh Raskar. International Journal of Computer Vision (IJCV), 2013.
Paper

Frequency Analysis of Transient Light Transport with Applications in Bare Sensor Imaging

Di Wu, Gordon Wetzstein, Christopher Barsi, Thomas Willwacher, Matthew O'Toole, Nikhil Naik, Qionghai Dai, Kiriakos N. Kutulakos, Ramesh Raskar. European Conference on Computer Vision (ECCV), 2012.
Project page

Primal-Dual Coding to Probe Light Transport

Matthew O'Toole, Ramesh Raskar, and Kiriakos N. Kutulakos. ACM SIGGRAPH, 2012.
Project page

Decomposing Global Light Transport using Time of Flight Imaging

Di Wu, Matthew O'Toole, Andreas Velten, Amit Agrawal, and Ramesh Raskar. Computer Vision and Pattern Recognition (CVPR), 2012. (Oral)
Paper

Optical Computing for Fast Light Transport Analysis

Matthew O'Toole and Kiriakos N. Kutulakos. ACM SIGGRAPH Asia, 2010.
Project page

A Basis Illumination Approach to BRDF Measurement

Abhijeet Ghosh, Shruthi Achutha, Wolfgang Heidrich, and Matthew O'Toole. International Journal of Computer Vision (IJCV), 2010.
Paper

M.Sc. Report: Light Transport Analysis by Krylov Subspace Illumination

Matthew O'Toole. University of Toronto, 2009. (Uploaded on September 2018.)
Report

BRDF Acquisition with Basis Illumination

Abhijeet Ghosh, Shruthi Achutha, Wolfgang Heidrich, and Matthew O'Toole. Proc. of IEEE International Conference on Computer Vision (ICCV), 2007. (Oral) (Awarded "Marr Prize Honourable Mention")
Project page

Undergraduate Honours Thesis: Real-time Rendering of Acquired BRDF Data Sets

Matthew O'Toole. University of British Columbia, 2007.
Paper