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Biologically Inspired Vision Sensors for Machine Vision Applications

Vision sensors today have become a part of our everyday life and are found in cell phone cameras, notebook webcams, digital cameras, video camcorders, security and surveillance among others. In industrial applications, machine vision has become a key technology for detecting and processing signals which determines the quality demands of the manufactures and customers. The vision sensors used for machine vision application have different requirement compared to the vision sensors used for conventional cameras. Biological systems are a source of inspiration in the development of vision sensors for machine vision applications. In this context the special session aims to bring together different research on bio-inspired vision for both sensing and processing. The main topics will include, but not be restricted to:

  1. Imaging system design and characterization
  2. Solid-state image sensors 
  3. Bio-inspired imaging systems
  4. Bio-inspired vision processing
  5. Low power, low noise vision sensors
  6. Computational and compressive imaging
  7. Plenoptic imaging, multi-channel and multi-aperture imaging
  8. Wide field of view imagers
  9. High speed image sensor
  10. Neuromorphic imaging

Session Organizer

Dr. Mukul Sarkar

Affiliation

Department of Electrical Engineering,
Indian Institute of Technology,
Delhi
Email: msarkar@ee.iitd.ac.in 

Short biography 

Mukul Sarkar received his M.Sc. degree in Biomedical Engineering from University of Technology, Aachen, Germany in 2006 and Ph.D. degree in Electronic Instrumentation Engineering from the Technical University of Delft, The Netherlands in 2011. He was a full time resident of IMEC from 2007 to 2011 during his Ph.D. After his Ph.D. he spent a year as postdoctoral researcher with Electronic Instrumentation Laboratory, Technical University of Delft, The Netherlands. Between 2003 and 2005, he worked in the Philips Institute of medical information, Aachen, Germany as a research assistant in detection and analysis of bio-signals. Since February 2012 he is with the department of Electrical Engineering at Indian Institute of Technology, Delhi, where currently he is an Assistant Professor. His research interests lie in the areas of solid state imaging, CMOS Image sensors, Bio-inspired vision systems, Analog/Digital circuit design, Optoelectronics and Machine vision.