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Tasking on Natural 3D Statistics
Alan C. Bovik
Director,Laboratory for Image and Video Engineering (LIVE )
Professor, Dept. of ECE
The University of Texas at Austin
In this talk I will discuss a variety of topics related to 3D images and the perception of them.
Underlying my talk is the thesis that as with 2D images of the natural world, 3D images
stereo pairs, disparity maps, or range maps) obey lawful statistical behaviour that can be modelled.
These models supply powerful statistical priors that can be used to define or regularize the solutions
to a variety of visual problems, such as depth estimation from one or more images, stereo pair quality
assessment (distortion severity assessment), and predicting the degree of discomfort felt when viewing
stereo 3D (S3D) images. I'll describe our ongoing work in these areas and pose some general problems to
be solved in the future.
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Al Bovik is the Curry/Cullen Trust Endowed Chair Professor at The University of Texas at Austin.
He has received a number of major awards from the IEEE Signal Processing Society, including: the Society Award (2013);
the Technical Achievement Award (2005); the Best Paper Award (2009); the Education Award (2007); the Magazine Best
Paper Award (2013); the Distinguished Lecturer Award (2000); the Young Author Best Paper Award (2013); and the
Meritorious Service Award (1998). He has also received the SPIE Technology Achievement Award in 2012,
the IS&T Honorary Membership in 2014, and was named Imaging Scientist of the Year by IS&T/SPIE in 2011.
He is the author or co-author of The Handbook of Image and Video Processing, Modern Image Quality Assessment,
and two recent books, The Essential Guides to Image and Video Processing.
Al co-founded and served as the longest-serving Editor-in-Chief of the IEEE Transactions on Image Processing
(1996-2002), and created and served as the first General Chairman of the IEEE International Conference on Image
Processing, held in Austin, Texas, in November, 1994.
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