Retinal encoder for machine vision

A technology of machine vision and retina, applied in image coding, instruments, computer components, etc.

Active Publication Date: 2014-06-25
CORNELL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] It is very challenging to process such a large amount of data within such time constraints

Method used

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  • Retinal encoder for machine vision
  • Retinal encoder for machine vision
  • Retinal encoder for machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0158] Example - Virtual World Navigation

[0159] In one embodiment of evaluating the effectiveness of a method for machine vision, the navigation task is used, as this is particularly challenging (requires simultaneous processing of time and space). This approach applies different aspects of multiple learning algorithms commonly used for navigation, e.g., LeCun, Y. et al. (2010) Convolutional Networks and Applications in Vision. Proc. International Symposium on Circuits and Systems (ISCAS'10), pp.253-256.IEEE; Szarvas, M. et al. (2005) Pedestrian detection with convolutional neural networks. Proc. Intelligent Vehicles Symposium, pp.224-229.IEEE; Jackel, L.D. et al. (2006) The DARPA LAGR program: Goals, challenges, methodology, and phase I results. Journal of Field Robotics, 23, 945–973, which is hereby incorporated by reference in its entirety. Using these techniques, the navigator is constructed to learn its environment through a convolutional neural network (CNN), a type ...

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PUM

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Abstract

A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input / output transformation that substantially mimics the input / output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to US Provisional Applications Serial Nos. 61 / 527,493 (filed April 25, 2011) and 61 / 657,406 (filed June 8, 2012). The contents of each of the foregoing applications are hereby incorporated by reference in their entirety. [0003] This application is also related to Serial Nos. 61 / 308,681 (filed February 26, 2010), 61 / 359,188 (filed June 28, 2010), 61 / 378,793 (filed August 31, 2010), 61 / 382,280 ( U.S. Provisional Application, filed September 13, 2010); U.S. Patent Application Serial No. 13 / 230,488, filed September 12, 2011; and PCT / US2011 / 026526, filed February 28, 2011 ) is related to the international patent application PCT / US2011 / 049188 (filed on August 25, 2011). The contents of each of the foregoing applications are hereby incorporated by reference in their entirety. [0004] Statement Regarding Federal Funding for Research or Development [0005] This invention was made with United...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/20
CPCG06T9/00G06T9/002G06N3/049G06T9/007H04N19/00903G06K9/4619H04N19/00806H04N19/62H04N19/85H04N19/60G06V10/449G06V10/20G06T7/0012G06V10/454G06T2207/20024G06T2207/20048G06T2207/20084G06T2207/30041G06V2201/03
Inventor 塞拉·尼伦伯格伊利亚·鲍马斯
Owner CORNELL UNIVERSITY
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