Image Sensing and Pattern Recognition (IR)

Information Acquisition, Processing and Display


Image Sensing and Pattern Recognition (IR)

This group is concerned with analog and digital processing in sensing and imaging systems, algorithms for sensor system control and for data analysis, sensor networks and data fusion, pattern recognition and tracking. Examples include computational image formation (e.g. computed tomography, image interferometry), image compression, image enhancement, image evaluation, image quality, image reconstruction, inverse problems, pattern recognition, phase retrieval, properties of image transforms, signal recovery, signal synthesis, and superresolution. Emerging areas within this group include integrated computational imaging systems, sparse aperture sensor arrays, biometric sensors for information and physical security, real-time pattern recognition systems and novel diffuse and projective tomographies.

Senior Optical Engineer | Nistica
Mon, 14 Apr 2014 21:26:00 EST

Process Engineer | Nistica
Mon, 14 Apr 2014 21:32:00 EST

Senior Diamond Turning Technician | Inrad Optics, Inc.
Mon, 14 Apr 2014 11:51:00 EST

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Name Affiliation Title
Daniel Marks Duke University, United States  Chair

Computational Optical Sensing and Imaging (COSI)

June 22 - June 26 2014
The Fairmont Orchid, Kohala Coast, Hawaii, USA

Imaging Systems and Applications (IS)

July 13 - July 17 2014
Sheraton Seattle Hotel, Seattle, Washington, USA

Digital Holography & 3-D Imaging (DH)

July 13 - July 17 2014
Sheraton Seattle Hotel , Seattle, Washington, USA

Applied Industrial Optics: Spectroscopy, Imaging, and Metrology (AIO)

July 13 - July 17 2014
Sheraton Seattle Hotel, Seattle, Washington, USA

2nd International Symposium Optics and its applications

September 01 - September 05 2014
Ashtarak, NULL, Armenia
Read the blog from the Implications of Compressive Sensing Concepts to Imaging Systems Incubator