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IEEE Signal Processing Society Santa Clara Valley Chapter





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Tuesday, September 23, 2014

The computational array camera


Dan Lelescu - Pelican Imaging



1 AMD Place, Sunnyvale, CA 94088 (Commons Bldg - map or Google Maps)


6:30 - 7:00 Pizza + Drinks, Networking

7:00 - 8:30 Talk and Questions



Computational cameras have become ubiquitous in the research community (though not yet in the consumer space), as various architectures are being considered for creating output features that are not possible, or very difficult to obtain with "traditional" cameras. Computational cameras reflect our desire to capture more information about the world around us through imaging (whether in the visible spectrum or not), and to exploit that information in applications that enhance our interaction with the imaged scene. In this context, we will introduce the topic by discussing the definition and a taxonomy of computational cameras. Some examples of trade-offs that computational cameras make to achieve their unique features, will be discussed. The unifying view that computational cameras can be seen as imaging codecs will be advanced, with the "encoder" (e.g., modified optics) acting in well-defined ways on the imaged scene signal, and the attendant tightly-coupled digital processing being the "decoder" in charge of producing the output features of interest. This concept will be exemplified using various kinds of computational cameras. In this general framework, we will then follow with a review of a computational array camera developed by Pelican Imaging, Inc. Some of the capabilities of this array camera will be illustrated.


Dan has close to 20 years of research experience in signal processing applied to areas such as two- and higher-dimensional (i.e., plenoptic) image/video representation, imaging, computational cameras, content-based retrieval from image or video databases, and complex-system statistical modeling (e.g., mobility modeling in wireless LANs). His career includes advanced research work in R&D labs and start-up environments for several companies, including NTT DoCoMo Research Labs, Micron (and later Aptina) Advanced Imaging R&D, and Compression Science, Inc. He is currently the Chief Imaging Scientist of Pelican Imaging, Inc., working on architectures and processing for his third physical computational camera (array), after having explored omnidirectional (catadioptric), and extended depth-of-field (EDOF) imaging systems. Dan earned his M.S. in Electrical Engineering from the Technical University "Politehnica" Timisoara, Romania, and his Ph.D. in Electrical Engineering and Computer Science from the University of Illinois, Chicago. He has published over 20 technical papers and contributions to ISO standards, and has chaired international conference sessions for IEEE and SPIE. He has 33 published patent applications.


A joint meeting organized by IEEE CE Society Chapter


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