Adaptive Perception With Locallyadaptable Sensor Array

• doi: 10.1109/IJCNN.2004.1379890
• title: Adaptive perception with locally-adaptable sensor array
• publisher: IEEE
• isbn: 0-7803-8359-1
• issn: 1098-7576
• partnum: 04CH37541
• rank: 1399
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper we propose some biologically motivated local image sensor adaptation methods. The special feature of these methods is that they change the integration time of the imager on the pixel level. Using these methods, low dynamic range integration type CMOS sensors will be able to perceive high dynamic range scenes, and at the same time, compress their dynamic range by keeping high contrast and without introducing non-existing edges.
• article_number: 1379890
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1379890
• html_url: https://ieeexplore.ieee.org/document/1379890/
• abstract_url: https://ieeexplore.ieee.org/document/1379890/
• publication_title: 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)
• conference_location: Budapest, Hungary
• conference_dates: 25-29 July 2004
• publication_number: 9486
• is_number: 30096
• publication_year: 2004
• publication_date: 25-29 July 2004
• start_page: 159
• end_page: 164
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 24
• insert_date: 20050117
• index_terms:
  • ieee_terms:
    • Sensor arrays
    • Adaptive arrays
    • Dynamic range
    • Layout
    • Retina
    • Image sensors
    • Biosensors
    • Lighting
    • Laboratories
    • Photoreceptors
  • dynamic_index_terms:
    • Dynamic Range
    • Integration Time
    • Image Sensor
    • Camera Sensor
    • High Dynamic Range
    • Dynamic Scenes
    • Low Dynamic Range
    • Illumination
    • Lighting
    • Response Curves
    • Photodetector
    • Additional Adjustment
    • Average Position
    • Average Location
    • Outer Plexiform Layer
    • External Plexiform Layer
    • Adaptive State
    • Adaptation Condition
    • Dc Component
    • Dynamic Adjustment
    • Anisotropic Diffusion
    • Exposure Parameters
    • Scene Perception
• isbn_formats:
  • format: Print ISBN, value: 0-7803-8359-1, isbnType: Historical
• authors:
  • Author Name: R. Wagner
    Affiliation: Pázmány Péter Catholic University, Budapest, Hungary
    Author URL: https://ieeexplore.ieee.org/author/37287949300
    ID: 37287949300
    Order: 1
    Author Affiliations:
    • Pázmány Péter Catholic University, Budapest, Hungary
  • Author Name: A. Zarandy
    Affiliation: Analogic and Neural Computing Laboratory, MTA-SZTAKI, Budapest, Hungary
    Author URL: https://ieeexplore.ieee.org/author/37331441600
    ID: 37331441600
    Order: 2
    Author Affiliations:
    • Analogic and Neural Computing Laboratory, MTA-SZTAKI, Budapest, Hungary
  • Author Name: T. Roska
    Affiliation: Analogic and Neural Computing Laboratory, MTA-SZTAKI, Budapest, Hungary
    Author URL: https://ieeexplore.ieee.org/author/37270774900
    ID: 37270774900
    Order: 3
    Author Affiliations:
    • Analogic and Neural Computing Laboratory, MTA-SZTAKI, Budapest, Hungary

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: high dynamic range (17 bits)
• 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

• shutter_speed: integration time varied between 0.1 and 230 ms

Applications & Benefits

• cell_imaging: not specified
• benefits: Improved high dynamic range perception, adapting to spatially varying illumination.

Supporting Organizations

• supported_by: National Science Fund of Hungary (OTKA), multidisciplinary doctoral school at the Pázmány Péter Catholic University, Office of Naval Research (ONR), European Community (IST-2001-38097 LOCUST)

Manuscript Details

• publication_date: 25-29 July 2004

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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