A Neuro-Inspired Model for Image Motion Processing

Kaiser Niknam; Amir Akbarian; Behrad Noudoost; Neda Nategh; Neda Nategh

doi:10.1364/COSI.2018.CW3B.1

Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2018),
paper CW3B.1
•https://doi.org/10.1364/COSI.2018.CW3B.1

A Neuro-Inspired Model for Image Motion Processing

Kaiser Niknam, Amir Akbarian, Behrad Noudoost, and Neda Nategh

Computational Optical Sensing and Imaging 2018

Orlando, Florida United States
25–28 June 2018
ISBN: 978-1-943580-44-6

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Machine Learning in Computational Sensing and Imaging I (CW3B)

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K. Niknam, A. Akbarian, B. Noudoost, and N. Nategh, "A Neuro-Inspired Model for Image Motion Processing," in Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), OSA Technical Digest (Optica Publishing Group, 2018), paper CW3B.1.

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Abstract

This study develops a computational framework for robust image analysis in the presence of observer motion, such as a moving camera, based on the brain code of robust motion computations during eye movements.

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