Image Registration Method For Consumer Devices

• doi: 10.1109/TCE.2005.1510516
• title: Image registration method for consumer devices
• publisher: IEEE
• isbn:
• issn: 1558-4127
• rank: 2707
• access_type: LOCKED
• content_type: Journals
• abstract: In this paper a projective image registration algorithm oriented to consumer devices is proposed. It exploits a multi-resolution feature based method for estimating the projective parameters through a 2D Daubechies discrete wavelet transform (DWT). The algorithm has been fully tested with real image sequences acquired by CMOS sensors and compared to other registration techniques. The obtained results highlight the accuracy of the registration parameters.
• article_number: 1510516
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1510516
• html_url: https://ieeexplore.ieee.org/document/1510516/
• abstract_url: https://ieeexplore.ieee.org/document/1510516/
• publication_title: IEEE Transactions on Consumer Electronics
• conference_location:
• conference_dates:
• publication_number: 30
• is_number: 32337
• publication_year: 2005
• publication_date: Aug. 2005
• start_page: 1014
• end_page: 1019
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 101
• insert_date: 20050919
• index_terms:
  • ieee_terms:
    • Image registration
    • Discrete wavelet transforms
    • Parameter estimation
    • Layout
    • Image sequences
    • CMOS image sensors
    • Optical distortion
    • Digital cameras
    • Vectors
    • Testing
  • dynamic_index_terms:
    • Image Registration
    • Image Matching
    • Co-registration
    • Digital Camera
    • Wavelet Transform
    • Wavelet Coefficients
    • Registration Techniques
    • Image Registration Algorithm
    • Cross-correlation
    • Control Points
    • Singular Value Decomposition
    • Reference Image
    • Model Projections
    • Transformation Parameters
    • Vertical Shift
    • Vertical Translation
    • Translation Vector
    • Projective Transformation
    • Decomposition Level
    • Affine Parameter
    • High Level Of Resolution
    • Features Of The Input Image
• authors:
  • Author Name: I. Guarneri
    Affiliation: STMicroelectronics Digital Still Camera and Multimedia Mobile Group, Catania, Italy
    Author URL: https://ieeexplore.ieee.org/author/37424127700
    ID: 37424127700
    Order: 1
    Author Affiliations:
    • STMicroelectronics Digital Still Camera and Multimedia Mobile Group, Catania, Italy
  • Author Name: M. Guarnera
    Affiliation: STMicroelectronics Digital Still Camera and Multimedia Mobile Group, Catania, Italy
    Author URL: https://ieeexplore.ieee.org/author/37320221700
    ID: 37320221700
    Order: 2
    Author Affiliations:
    • STMicroelectronics Digital Still Camera and Multimedia Mobile Group, Catania, Italy
  • Author Name: G. Lupica
    Affiliation: Department of Computer Science and Telecommunication, Faculty of Electronics Engineering, Catania, Italy
    Author URL: https://ieeexplore.ieee.org/author/37424126800
    ID: 37424126800
    Order: 3
    Author Affiliations:
    • Department of Computer Science and Telecommunication, Faculty of Electronics Engineering, Catania, Italy
  • Author Name: S. Casale
    Affiliation: Department of Computer Science and Telecommunication, Faculty of Electronics Engineering, Catania, Italy
    Author URL: https://ieeexplore.ieee.org/author/37300730500
    ID: 37300730500
    Order: 4
    Author Affiliations:
    • Department of Computer Science and Telecommunication, Faculty of Electronics Engineering, Catania, Italy

Image Sensor

• sensor_type: CMOS
• resolution: VGA (640x480)
• 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

Applications & Benefits

• cell_imaging: Not specified
• benefits: Enables digital imaging in a variety of applications such as smartphones, medical devices, and automotive systems.

Supporting Organizations

• supported_by: STMicroelectronics, University of Catania

Manuscript Details

• publication_date: Aug. 2005

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_5c3fe624-8a38-418b-b016-e23c277768c4-image_registration_method_for_consumer_devices.json