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Computational Imaging for Realistic Appearance Modelling

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In this talk, I will present an overview of the research we have been conducting in the Realistic Graphics and Imaging group at Imperial on measurement based appearance modelling for realistic computer graphics. The talk will span techniques focusing both on standard geometric optics based acquisition, as well as imaging wave optical effects of surface reflectance. In the standard geometric optics regime, I will briefly describe some of our work on acquiring the shape and reflectance of opaque spatially varying planar material samples, and acquiring transparent glass objects. I will then present some recent work on imaging wave optical effects such as polarization for appearance acquisition in uncontrolled outdoor environments, and imaging surface diffraction to model the complex iridescence seen on manufactured materials such LCD screens and holographic samples. The talk will conclude with a brief description of a multi-spectral Light Stage apparatus that we have built at Imperial for facial and material appearance capture.


Abhijeet Ghosh is a Senior Lecturer in the Department of Computing at Imperial College London, where he leads the Realistic Graphics and Imaging group and his current research interests include appearance modelling and computational photography/illumination for graphics and vision. He currently holds an EPSRC Early Career Fellowship (2016-2021), and has recently held a Royal Society Wolfson Research Merit Award (2013-2017) in this area. Previously, he was a Research Assistant Professor at the USC Institute for Creative Technologies where he worked on Light Stage based facial and appearance acquisition. Abhijeet completed his PhD in Computer Science from the University of British Columbia is 2007. His doctoral dissertation received the 2008 Alain Fournier award for the best Canadian PhD thesis in computer graphics. Abhijeet was a program co-chair for Pacific Graphics 2018, and is currently conference chair for the ACM SIGGRAPH Conference on Visual Media Production (CVMP) 2018.

This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.

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