Biologically Inspired Vision Sensors

• doi: 10.1109/MIEL.2002.1003158
• title: Biologically inspired vision sensors
• publisher: IEEE
• isbn: 0-7803-7235-2
• issn:
• partnum: 02TH8595
• rank: 1728
• access_type: LOCKED
• content_type: Conferences
• abstract: The paper starts with a brief discussion of the biological vision system that serves as a model for the three types of vision sensors described later on. A retina-like CCD sensor whose computational properties are embedded in its structure is described first, followed by a CMOS tracking sensor that consists of a fovea for smooth pursuit and a periphery for saccadic motion control. This sensor incorporates logarithmic compression, edge detection, direction-of-motion detection and centroid localization. Finally, a CMOS sensor for the detection of image features is discussed. The sensor extracts lower-level features, such as line orientation, line stops, and intersections, in a hierarchical fashion, similar to what the simple and complex cells do in the biological system.
• article_number: 1003158
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1003158
• html_url: https://ieeexplore.ieee.org/document/1003158/
• abstract_url: https://ieeexplore.ieee.org/document/1003158/
• publication_title: 2002 23rd International Conference on Microelectronics. Proceedings (Cat. No.02TH8595)
• conference_location: Nis, Yugoslavia
• conference_dates: 12-15 May 2002
• publication_number: 7858
• is_number: 21636
• publication_year: 2002
• publication_date: 12-15 May 2002
• start_page: 125
• end_page: 131 vol.1
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 197
• insert_date: 20020807
• index_terms:
  • ieee_terms:
    • Biosensors
    • Sensor phenomena and characterization
    • CMOS image sensors
    • Sensor systems
    • Image edge detection
    • Machine vision
    • Biological system modeling
    • Semiconductor device modeling
    • Charge coupled devices
    • Biology computing
  • dynamic_index_terms:
    • Vision Sensors
    • Visual System
    • Feature Detection
    • Types Of Sensors
    • Edge Detection
    • Simple Cells
    • Smooth Pursuit
    • Line Orientation
    • Centroid Location
    • Locations Of Centroids
    • Low Resolution
    • Visual Cortex
    • Visual Cortices
    • Receptive Field
    • Recognition Task
    • Conventional Imaging
    • Nerve Conduction
    • Nerve Impulses
    • Noisy Data
    • Image Sensor
    • Camera Sensor
    • Peripheral Regions
    • Motion Detection
    • Motion Sensors
    • Visual Pathway
    • Compact Sensor
    • Smart Sensors
    • Version Of Image
    • Imaris Version
    • Foveal Region
    • Bipolar Cells
    • Output Line
    • Global Motion
    • CMOS Technology
    • Template Matching
    • Tracking System
    • Tracking Devices
• isbn_formats:
  • format: Print ISBN, value: 0-7803-7235-2, isbnType: Historical
• authors:
  • Author Name: J. Van der Spiegel
    Affiliation: Moore School of Electrical Engineering, University of Pennsylvania, Philadelphia, PA, USA
    Author URL: https://ieeexplore.ieee.org/author/37284390100
    ID: 37284390100
    Order: 1
    Author Affiliations:
    • Moore School of Electrical Engineering, University of Pennsylvania, Philadelphia, PA, USA
  • Author Name: R. Etienne-Cummings
    Affiliation: Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/38271387300
    ID: 38271387300
    Order: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
  • Author Name: M. Nishimura
    Affiliation: Sankyo Company Limited, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/38203220300
    ID: 38203220300
    Order: 3
    Author Affiliations:
    • Sankyo Company Limited, Tokyo, Japan

Image Sensor

• sensor_type: CMOS
• resolution: 81x19
• dynamic_range: 6 orders of magnitude
• pixel_size: 150 µm
• dark_current: unknown

Optical Data

• focal_length: unknown
• aperture: unknown
• field_of_view: unknown
• distortion: unknown

Performance Metrics

• frame_rate: unknown
• signal_to_noise_ratio: unknown
• sensitivity: unknown
• shutter_speed: unknown
• power_consumption: 25 mW
• noise: unknown

Applications & Benefits

• cell_imaging: Teleconferencing, video telephony, manufacturing, surveillance, robotics navigation.
• benefits: Compact, low-power, low-cost sensor for tracking applications with a foveated design.

Supporting Organizations

• supported_by: Corticon, Inc., NSF, IMEC

Manuscript Details

• publication_date: 12-15 May 2002

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

request_56593f48-9397-4bf8-805c-240968dfa37c-biologically_inspired_vision_sensors.json