Camera Calibration In Wireless Multimedia Sensor Networks

• doi: 10.1109/ISSNIP.2009.5416797
• title: Camera calibration in wireless multimedia sensor networks
• publisher: IEEE
• isbn: 978-1-4244-3518-0
• issn:
• partnum: 09EX2665
• rank: 1894
• access_type: LOCKED
• content_type: Conferences
• abstract: Wireless multimedia sensor networks (WMSNs) have become increasingly popular in recent years, driven in part by the increasing commoditization of small, low-cost CMOS sensors. As such, the challenge of automatically calibrating these types of cameras nodes has become an important research problem, especially for the case when a large quantity of these type of devices are deployed. This paper presents a method for automatically calibrating a wireless camera node with the ability to rotate around one axis. The method involves capturing images as the camera is rotated and computing the homographies between the images. The camera parameters, including focal length, principal point and the angle and axis of rotation can then recovered from two or more homographies. The homography computation algorithm is designed to deal with the limited resources of the wireless sensor and to minimize energy consumption. In this paper, a modified RANdom SAmple Consensus (RANSAC) algorithm is proposed to effectively increase the efficiency and reliability of the calibration procedure.
• article_number: 5416797
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5416797
• html_url: https://ieeexplore.ieee.org/document/5416797/
• abstract_url: https://ieeexplore.ieee.org/document/5416797/
• publication_title: 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
• conference_location: Melbourne, VIC, Australia
• conference_dates: 7-10 Dec. 2009
• publication_number: 5406658
• is_number: 5416740
• publication_year: 2009
• publication_date: 7-10 Dec. 2009
• start_page: 301
• end_page: 306
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 125
• insert_date: 20100218
• index_terms:
  • ieee_terms:
    • Wireless sensor networks
    • Cameras
    • Calibration
    • Sensor systems
    • Servomechanisms
    • Multimedia systems
    • Laboratories
    • Australia
    • Capacitive sensors
    • Costs
  • author_terms:
    • wireless sensor networks
    • camera calibration
    • homography
  • dynamic_index_terms:
    • Wireless Sensor
    • Wireless Sensor Networks
    • Camera Calibration
    • Wireless Multimedia Sensor Networks
    • Rotation Angle
    • Focal Length
    • Focal Distance
    • Rotation Axis
    • Calibration Procedure
    • Random Sample Consensus
    • RANSAC
    • Homography
    • Projectivity
    • Sampling Bias
    • Ascertainment Bias
    • Sample Selection Bias
    • Local Features
    • Local Characteristics
    • Random Selection
    • Set Of Elements
    • Increase In Accuracy
    • Feature Matching
    • Matching Characteristics
    • Overlap Region
    • Digital Signal Processing
    • Image Coordinates
    • Projective Transformation
    • Random Selection Process
    • Reduce Processing Time
    • Local Image Features
    • Putative Pairs
    • Camera Intrinsic Parameters
    • World Coordinate
    • Independent Entries
    • Camera Orientation
    • Coordinates Of Elements
    • Cluster Boundaries
• isbn_formats:
  • format: CD, value: 978-1-4244-3518-0, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-3517-3, isbnType: New-2005
• authors:
  • Author Name: Junbin Liu
    Affiliation: SVAIT Laboratory, Queensland University of Technology, Brisbane, Australia
    Author URL: https://ieeexplore.ieee.org/author/37405251200
    ID: 37405251200
    Order: 1
    Author Affiliations:
    • SVAIT Laboratory, Queensland University of Technology, Brisbane, Australia
    • Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia
  • Author Name: Damien O'Rourke
    Affiliation: Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia
    Author URL: https://ieeexplore.ieee.org/author/37085924680
    ID: 37085924680
    Order: 2
    Author Affiliations:
    • Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia
  • Author Name: Tim Wark
    Affiliation: SVAIT Laboratory, Queensland University of Technology, Brisbane, Australia
    Author URL: https://ieeexplore.ieee.org/author/37298868200
    ID: 37298868200
    Order: 3
    Author Affiliations:
    • SVAIT Laboratory, Queensland University of Technology, Brisbane, Australia
    • Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia
  • Author Name: Ruan Lakemond
    Affiliation: SVAIT Laboratory, Queensland University of Technology, Brisbane, Australia
    Author URL: https://ieeexplore.ieee.org/author/37402573600
    ID: 37402573600
    Order: 4
    Author Affiliations:
    • SVAIT Laboratory, Queensland University of Technology, Brisbane, Australia
    • Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia
  • Author Name: Sridha Sridharan
    Affiliation: SVAIT Laboratory, Queensland University of Technology, Brisbane, Australia
    Author URL: https://ieeexplore.ieee.org/author/37266096100
    ID: 37266096100
    Order: 5
    Author Affiliations:
    • SVAIT Laboratory, Queensland University of Technology, Brisbane, Australia
    • Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia

Image Sensor

• sensor_type: CMOS
• resolution: 1.3 Mega-pixels
• 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

• power_consumption: ≈90mW

Applications & Benefits

• cell_imaging: Not specified
• benefits: Enabling digital imaging in smartphones, medical devices, and automotive systems.

Supporting Organizations

• supported_by: CSIRO, Queensland University of Technology

Manuscript Details

• publication_date: 7-10 Dec. 2009

Relevancy Score

• score: 7
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • performance_metrics.frame_rate
  • performance_metrics.signal_to_noise_ratio
  • performance_metrics.sensitivity
  • optical_data.focal_length
  • optical_data.aperture
  • optical_data.field_of_view
  • optical_data.distortion
  • performance_metrics.noise
  • optical_data.aperture
  • performance_metrics.shutter_speed

Processed JSON Filename

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