Removing Rolling Shutter Distortion Using Optical Flow And Ransac

• doi: 10.1109/ICCE.2015.7066435
• title: Removing rolling shutter distortion using optical flow and RANSAC
• publisher: IEEE
• isbn: 978-1-4799-7542-6
• issn: 2158-4001
• rank: 3447
• access_type: LOCKED
• content_type: Conferences
• abstract: CMOS camera modules are used for smartphone. But CMOS camera modules have a problem of rolling shutter effect. In this paper, we propose an efficient method of removing the rolling shutter effect. We first compute the global motion vector by using the optical flow and the camera motion estimation algorithm. Then we estimate the velocity for each row of sensor array. Finally the distorted image is realigned. Experimental results show that the proposed method is more robust and faster than the previous method.
• article_number: 7066435
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7066435
• html_url: https://ieeexplore.ieee.org/document/7066435/
• abstract_url: https://ieeexplore.ieee.org/document/7066435/
• publication_title: 2015 IEEE International Conference on Consumer Electronics (ICCE)
• conference_location: Las Vegas, NV, USA
• conference_dates: 9-12 Jan. 2015
• publication_number: 7061292
• is_number: 7066289
• publication_year: 2015
• publication_date: 9-12 Jan. 2015
• start_page: 337
• end_page: 338
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 309
• insert_date: 20150326
• index_terms:
  • ieee_terms:
    • Cameras
    • CMOS integrated circuits
    • Arrays
    • Optical distortion
    • Computer vision
    • Videos
    • Optical imaging
  • dynamic_index_terms:
    • Optical Flow
    • Random Sample Consensus
    • RANSAC
    • Rolling Shutter
    • Sensor Array
    • Motion Estimation
    • Global Motion
    • Global Vector
    • Motion Vector
    • Camera Module
    • Duty Cycle
    • Velocity Estimation
    • Normal Images
    • Motion Velocity
    • Search Range
    • Bezier Curve
    • Cubic Bézier
    • Bézier Curves
• isbn_formats:
  • format: CD, value: 978-1-4799-7542-6, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4799-7543-3, isbnType: New-2005
• authors:
  • Author Name: Woo Jin Jeong
    Affiliation: Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea
    Author URL: https://ieeexplore.ieee.org/author/37085400921
    ID: 37085400921
    Order: 1
    Author Affiliations:
    • Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea
  • Author Name: Young Shik Moon
    Affiliation: Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea
    Author URL: https://ieeexplore.ieee.org/author/37306252400
    ID: 37306252400
    Order: 2
    Author Affiliations:
    • Dept. of Computer Science and Engineering, Hanyang University, Republic of Korea

Image Sensor

• sensor_type: CMOS
• resolution: 1280x720
• 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 smartphones, medical devices, and automotive systems.

Supporting Organizations

• supported_by: National Research Foundation of Korea (NRF)

Manuscript Details

• publication_date: 9-12 Jan. 2015

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • pixel_size
  • 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_318a14d8-d849-4db8-96a9-a4f9e9d8c33f-removing_rolling_shutter_distortion_using_optical_flow_and_ransac.json