image science lab @cmu
Our new lab website is at imagesci.ece.cmu.edu.
My research deals with understanding the interaction of light with materials, devising theories and imaging architectures to capture these interactions, and finally developing a deeper understanding of the world around us based on these interactions. While these interactions involve very high-dimensional signals, there are underlying structures that enable them to be modeled parsimoniously using low-dimensional models. My research identifies low-dimensional models for high-dimensional visual signals using both physics-based and learning-based formulates, and develop imaging architectures and algorithms that exploit these low-dimensional models for efficient sensing and inference.
compressive sensing and computational photography
shape and reflectance estimation
non-linear signal models
David shaw (co-advised with Soummya Kar)
John Lee, (UG student, fall 14 - spring 15)
Nikhil Bikhchandani, (undergraduate student, fall 13 - spring 14)
Fall 2015. Compressive sensing and sparse optimization (18-799J)
Spring 2014. Computational Sensors (18-799N)
Fall 2013. Signals and Systems (18-290)
Spring 2013. Compressive Sensing and Sparse Optimization (18-799J)