A Silicon Retina For Polarization Contrast Vision
- doi: 10.1109/IJCNN.1999.833428
-
title: A silicon retina for polarization contrast
vision
- publisher: IEEE
- isbn: 0-7803-5529-6
- issn: 1098-7576
- partnum: 99CH36339
- rank: 1284
- access_type: LOCKED
- content_type: Conferences
-
abstract: Polarization vision is prevalent among
insects, and offers visual capabilities that contribute to object
discrimination and homing tasks. We present a CMOS imager that is
capable of extracting polarization contrast in a scene. A similar visual
modality has been seen in Octopus. The polarimetric vector is a more
general descriptor of light than intensity information alone, and it
contains physical information about the imaged objects in a scene that
traditional intensity based sensors ignore. Polarimeters-devices that
measure polarization-are used to extract physical features from an image
such as specularities, occluding contours, and material properties.
Polarization information is used to perform difficult tasks such as
image segmentation and surface reconstruction, object orientation,
material classification, atmospheric and solar analysis. The
polarization contrast retina is a CMOS sensor/imager that uses a
birefringent crystal micropolarizer mounted on the focal plane to sense
two orthogonal directions of linear polarization. The CMOS imager uses
analog translinear circuitry to compute, in real-time on the
focal-plane, polarization contrast: a measure of the orientation and
degree of linear polarization in an imaged scene.
- article_number: 833428
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=833428
-
html_url:
https://ieeexplore.ieee.org/document/833428/
-
abstract_url:
https://ieeexplore.ieee.org/document/833428/
-
publication_title: IJCNN'99. International Joint
Conference on Neural Networks. Proceedings (Cat. No.99CH36339)
- conference_location: Washington, DC, USA
- conference_dates: 10-16 July 1999
- publication_number: 6674
- is_number: 18002
- publication_year: 1999
- publication_date: 10-16 July 1999
- start_page: 2329
- end_page: 2332 vol.4
- citing_paper_count: 10
- citing_patent_count: 0
- download_count: 69
- insert_date: 20020806
-
index_terms:
-
ieee_terms:
- Silicon
- Retina
- Optical polarization
- Layout
- CMOS image sensors
- Data mining
- Atmospheric measurements
- Insects
- Image sensors
- Sensor phenomena and characterization
-
dynamic_index_terms:
- Silicon Retina
- Polarization Contrast
- Material Properties
- Linearly Polarized
- Propagation Direction
- Image Object
- Focal Plane
- Back Focal Plane
- Octopus
- Objects In The Scene
- Degree Of Polarization
- Polarization Orientation
- Polarization Information
- Photodetector
- Polar Components
- Orthogonal Components
- Orthogonal Field
-
isbn_formats:
-
format: Print ISBN,
value: 0-7803-5529-6,
isbnType: Historical
-
authors:
-
Author Name: Z.K. Kalayjian
Affiliation: Department of Electrical and Computer
Engineering, Johns Hopkins University, USA
Author URL:
https://ieeexplore.ieee.org/author/37323571200
ID: 37323571200
Order: 1
Author Affiliations:
-
Department of Electrical and Computer Engineering, Johns Hopkins
University, USA
-
Author Name: A.G. Andreou
Affiliation: Department of Electrical and Computer
Engineering, Johns Hopkins University, USA
Author URL:
https://ieeexplore.ieee.org/author/37270817700
ID: 37270817700
Order: 2
Author Affiliations:
-
Department of Electrical and Computer Engineering, Johns Hopkins
University, USA
Image Sensor
- sensor_type: CMOS
- resolution: 180x186
- dynamic_range: not specified
- pixel_size: not specified
- dark_current: not specified
Optical Data
- focal_length: not specified
- aperture: not specified
- field_of_view: not specified
- distortion: not specified
Performance Metrics
Applications & Benefits
-
cell_imaging: The polarization contrast imager helps in
understanding material properties and surface orientations of objects
which can aid in imaging tasks in fields like medicine and industry.
-
benefits: The sensor provides information about the
material properties, surface orientations, and enhances the detection
and recognition of objects when using polarization information.
Supporting Organizations
-
supported_by: ONR Multi-University Center for Automated
Vision and Sensing Systems N00014-95-1-0409, MOSIS
Manuscript Details
- publication_date: 10-16 July 1999
Relevancy Score
- score: 10
-
missing_fields:
- fill factor
- quantum efficiency
- readout speed
- noise sources
- analog-to-digital conversion techniques
- use of microlenses
- on-chip colour filters
- global or rolling shutters
- backside illumination
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