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.
2 November 2016
Wuhan Shangri-La Hotel
7 November 2016
Itabashi Culture Hall
21 November 2016
3 December 2016
National Taiwan University of Science and Technology
7 December 2016
Srawanti Seminar Hall, Vignan's University
If you are a member of the Image Sensing and Pattern Recognition Technical Group and have ideas for activities and initiatives to help engage this group’s members, please contact the group chair, Sapna Shroff.
Read the blog from the Implications of Compressive Sensing Concepts to Imaging Systems Incubator.