An All Cmos Foveal Image Sensor Chip
- doi: 10.1109/ASIC.1998.723085
- title: An all CMOS foveal image sensor chip
- publisher: IEEE
- isbn: 0-7803-4980-6
- issn: 1063-0988
- partnum: 98TH8372
- rank: 1538
- access_type: LOCKED
- content_type: Conferences
-
abstract: A foveal image sensor chip that uses a
standard CMOS process is presented. A new photo charge normalization
scheme and its associated circuitry for use with active pixel sensors
has been developed. The pixels are assembled into a multi-resolution
rectilinear foveal image sensor chip using a novel access scheme to
reduce the number of analog RAM cells needed. Localized spatial
resolution declines monotonically with offset from the imager's optical
axis, analogous to biological foveal vision. A proof-of-concept chip has
been fabricated and tested.
- article_number: 723085
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=723085
-
html_url:
https://ieeexplore.ieee.org/document/723085/
-
abstract_url:
https://ieeexplore.ieee.org/document/723085/
-
publication_title: Proceedings Eleventh Annual IEEE
International ASIC Conference (Cat. No.98TH8372)
- conference_location: Rochester, NY, USA
- conference_dates: 16-16 Sept. 1998
- publication_number: 5864
- is_number: 15621
- publication_year: 1998
- publication_date: 16-16 Sept. 1998
- start_page: 409
- end_page: 413
- citing_paper_count: 6
- citing_patent_count: 3
- download_count: 72
- insert_date: 20020806
-
index_terms:
-
ieee_terms:
- CMOS image sensors
- Image sensors
- CMOS process
- Circuits
- Biosensors
- Pixel
- Assembly
- Spatial resolution
- Biomedical optical imaging
- Optical sensors
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Foveal Image
- Spatial Resolution
- Optical Axis
- Fiber Axis
- Beam Axis
- Active Sensors
- Frame Rate
- Potential Well
- High Acuity
- High Visual Acuity
- Compression Factor
- Gaze Control
-
isbn_formats:
-
format: Print ISBN,
value: 0-7803-4980-6,
isbnType: Historical
-
authors:
-
Author Name: S. Xia
Affiliation: State University of New York,
University at Buffalo, Buffalo, NY, USA
Author URL:
https://ieeexplore.ieee.org/author/37088038005
ID: 37088038005
Order: 1
Author Affiliations:
-
State University of New York, University at Buffalo, Buffalo,
NY, USA
-
Author Name: R. Sridhar
Affiliation: Amherst Systems, Inc., Williamsville,
NY, USA
Author URL:
https://ieeexplore.ieee.org/author/37088039658
ID: 37088039658
Order: 2
Author Affiliations:
- Amherst Systems, Inc., Williamsville, NY, USA
-
Author Name: P. Scott
Affiliation: State University of New York,
University at Buffalo, Buffalo, NY, USA
Author URL:
https://ieeexplore.ieee.org/author/37294995300
ID: 37294995300
Order: 3
Author Affiliations:
-
State University of New York, University at Buffalo, Buffalo,
NY, USA
-
Author Name: C. Bandera
Affiliation: State University of New York,
University at Buffalo, Buffalo, NY, USA
Author URL:
https://ieeexplore.ieee.org/author/37350065900
ID: 37350065900
Order: 4
Author Affiliations:
-
State University of New York, University at Buffalo, Buffalo,
NY, USA
Image Sensor
- sensor_type: CMOS
- resolution: not specified
- dynamic_range: not specified
- pixel_size: 32um, 64um, 128um
- dark_current: not specified
Optical Data
- focal_length: not specified
- aperture: not specified
- field_of_view: d=2, r=2
- distortion: not specified
Performance Metrics
Applications & Benefits
-
cell_imaging: Efficient for multitarget tracking and
automatic target recognition, suitable for time-critical applications
and real-time imaging.
-
benefits: Ability to achieve wide FOV, high resolution,
and fast frame rates while reducing processing requirements.
Supporting Organizations
- supported_by: NASA JPL, Amherst Systems Inc.
Manuscript Details
- publication_date: 16-16 Sept. 1998
Relevancy Score
- score: 9
-
missing_fields:
- dynamic_range
- resolution
- dark_current
- focal_length
- aperture
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
request_cfbb61aa-fca9-42d3-8f3b-bab582bfc679-an_all_cmos_foveal_image_sensor_chip.json