Image Sensing and Pattern Recognition (IR)


Image Sensing and Pattern Recognition (IR)

Graphicrepresenting image sensingThis 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.

Research Director- Optics, Connectivity and Integration (OCI) | Corning
Wed, 25 Feb 2015 16:24:00 EST

Sales Engineer | PFG Precision Optics
Mon, 23 Feb 2015 09:33:00 EST

Director of Engineering | KMLabs
Mon, 23 Feb 2015 14:26:00 EST

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Name Affiliation Title
Sapna Shroff    Chair

Optics and the Brain

April 12 - April 15 2015
Pinnacle Vancouver Harbourfront Hotel , Vancouver, Canada

Bio-Optics: Design and Application (BODA)

April 12 - April 15 2015
Pinnacle Vancouver Harbourfront Hotel , Vancouver, Canada

Digital Holography & 3-D Imaging (DH)

May 24 - May 28 2015
Shanghai Institute of Optics and Fine Mechanics, Shanghai, China

Applied Industrial Optics (AIO)

June 07 - June 11 2015
Renaissance Arlington Capital View, Arlington, Virginia, USA

Computational Optical Sensing and Imaging (COSI)

June 07 - June 11 2015
Renaissance Arlington Capital View Hotel, Arlington, Virginia, USA
If you are a member of this group and have ideas and/or suggestions about activities and initiatives to help engage this group, please contact the group chair, Sapna Shroff at sapna.shroff@gmail.com.

Read the blog from the Implications of Compressive Sensing Concepts to Imaging Systems Incubator