Invention Grant
- Patent Title: Retinal encoder for machine vision
-
Application No.: US16421147Application Date: 2019-05-23
-
Publication No.: US10769483B2Publication Date: 2020-09-08
- Inventor: Shelia Nirenberg , Illya Bomash
- Applicant: CORNELL UNIVERSITY
- Applicant Address: US NY Ithaca
- Assignee: CORNELL UNIVERSITY
- Current Assignee: CORNELL UNIVERSITY
- Current Assignee Address: US NY Ithaca
- Agency: Foley & Lardner LLP
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06T9/00 ; H04N19/62 ; H04N19/85 ; H04N19/60 ; G06N3/04 ; G06T7/00

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.
Public/Granted literature
- US20190279021A1 RETINAL ENCODER FOR MACHINE VISION Public/Granted day:2019-09-12
Information query