Invention Grant
- Patent Title: Compressive sensing with local geometric features
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Application No.: US14695709Application Date: 2015-04-24
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Publication No.: US09613285B2Publication Date: 2017-04-04
- Inventor: Brian Gardiner , Rishi Gupta , Yaron Rachlin , Christopher C. Yu , Piotr Indyk , Eric Price
- Applicant: THE CHARLES STARK DRAPER LABORATORY, INC. , MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- Applicant Address: US MA Cambridge US MA Cambridge
- Assignee: THE CHARLES STARK DRAPER LABORATORY, INC.,MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- Current Assignee: THE CHARLES STARK DRAPER LABORATORY, INC.,MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- Current Assignee Address: US MA Cambridge US MA Cambridge
- Agency: Lando & Anastasi, LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06K9/60 ; G06T9/00 ; H04N19/90 ; H03M7/30

Abstract:
Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.
Public/Granted literature
- US20160203382A1 COMPRESSIVE SENSING WITH LOCAL GEOMETRIC FEATURES Public/Granted day:2016-07-14
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