Smart Bispectral Image Sensor For 3D Vision

• doi: 10.1109/ICSENS.2007.4388464
• title: Smart Bi-Spectral Image Sensor for 3D Vision
• publisher: IEEE
• isbn: 978-1-4244-1262-4
• issn: 1930-0395
• partnum: 07CH37910
• rank: 3588
• access_type: LOCKED
• content_type: Conferences
• abstract: The work presented here is related to Cyclope, an embedded active 3D vision system. The challenge is to realize an integrated sensor which achieve real-time depth vision with constraints on the size, consumption and computational ressources. Cyclope is based on active vision and is integrated in a VSiP (Visual System in Package) allowing multiple technology cohabitation, such as a CMOS imager or an AsGa VSCEL, in the same chip size package. In this paper we present an acquisition method which allows to grab both texture and IR pattern images at a 25 image/s frame rate. The method uses a pulsed IR laser pattern projector and CMOS image sensor with programmable integration time. This sensor is realized in a standard silicon technology and without additional optical filtering. The first experimental results are presented to validate our approach with the realization of a functional prototype using a SOPC board, a structured pattern projector and the designed image sensor.
• article_number: 4388464
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4388464
• html_url: https://ieeexplore.ieee.org/document/4388464/
• abstract_url: https://ieeexplore.ieee.org/document/4388464/
• publication_title: SENSORS, 2007 IEEE
• conference_location: Atlanta, GA, USA
• conference_dates: 28-31 Oct. 2007
• publication_number: 4388307
• is_number: 4388308
• publication_year: 2007
• publication_date: 28-31 Oct. 2007
• start_page: 577
• end_page: 580
• citing_paper_count: 2
• citing_patent_count: 1
• download_count: 122
• insert_date: 20071217
• index_terms:
  • ieee_terms:
    • Image sensors
    • Packaging
    • CMOS technology
    • CMOS image sensors
    • Optical sensors
    • Optical filters
    • Machine vision
    • Intelligent sensors
    • Computer vision
    • Visual system
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Visual System
    • System Software
    • Packaging System
    • Integration Time
    • Laser Pulse
    • Image Texture
    • Standard Technology
    • Infrared Laser
    • Pulse Pattern
    • Infrared Spectroscopy
    • IR Spectroscopy
    • IR Spectra
    • Infrared Spectra
    • Visible Light
    • Visible Region
    • Visible Spectrum
    • Image Acquisition
    • 3D Reconstruction
    • Line-of-sight
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Sensor Networks
    • Wireless Sensor
    • Scene Images
    • Image Pattern
    • Multiple Integration
    • Double Integral
    • Background Texture
    • System-on-chip
    • License Plate Recognition
    • Automatic License Plate Recognition
    • Laser Projector
    • License Plate Readers
    • Original Sensor
    • 3D Sensor
• isbn_formats:
  • format: CD, value: 978-1-4244-1262-4, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-1261-7, isbnType: New-2005
• authors:
  • Author Name: A. Kolar
    Affiliation: Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
    Author URL: https://ieeexplore.ieee.org/author/37547576800
    ID: 37547576800
    Order: 1
    Author Affiliations:
    • Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
  • Author Name: T. Graba
    Affiliation: Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
    Author URL: https://ieeexplore.ieee.org/author/37399073200
    ID: 37399073200
    Order: 2
    Author Affiliations:
    • Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
  • Author Name: A. Pinna
    Affiliation: Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
    Author URL: https://ieeexplore.ieee.org/author/37283436400
    ID: 37283436400
    Order: 3
    Author Affiliations:
    • Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
  • Author Name: O. Romain
    Affiliation: Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
    Author URL: https://ieeexplore.ieee.org/author/38332154000
    ID: 38332154000
    Order: 4
    Author Affiliations:
    • Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
  • Author Name: B. Granado
    Affiliation: Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
    Author URL: https://ieeexplore.ieee.org/author/37089135671
    ID: 37089135671
    Order: 5
    Author Affiliations:
    • Groupe SYEL, Université Pierre et Marie CURIE, Paris, France
  • Author Name: E. Belhaire
    Affiliation: Institut d'Électronique Fondamental, Universite Paris-Sud, Orsay, France
    Author URL: https://ieeexplore.ieee.org/author/37350282800
    ID: 37350282800
    Order: 6
    Author Affiliations:
    • Institut d'Électronique Fondamental, Universite Paris-Sud, Orsay, France

Image Sensor

• sensor_type: CMOS
• resolution: 64x64 pixels
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: 12.5 mm
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 25 fps
• shutter_speed: 5 ms and 5 μs
• power_consumption: Not specified in detail, but noted for integration considerations.

Applications & Benefits

• cell_imaging: The sensor and associated technology could be used for in vivo 3D endoscopy and environmental monitoring.
• benefits: The sensor allows real-time depth reconstruction with minimal size and power consumption.

Supporting Organizations

• supported_by: Universit ´e Pierre et Marie CURIE, Institut d’ ´Electronique Fondamental, Universite Paris-Sud

Manuscript Details

• publication_date: 28-31 Oct. 2007

Relevancy Score

• score: 8
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • analog-to-digital conversion techniques
  • use of microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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