Contact Lenses Tryon System

• doi: 10.1109/ICCE-TW.2014.6904023
• title: Contact lenses try-on system
• publisher: IEEE
• isbn: 978-1-4799-4851-2
• issn:
• rank: 1999
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a hardware/software (HW/SW) co-design approach to establish a contact lenses try-on system via the use of the Field Programmable Gate Array (FPGA) [1]. To achieve an interactive user-friendly environment, the menu of contact lenses and the result are displayed on the LCD touch panel directly. After capturing the user's image via CMOS sensor, image processing is used to determine the user's irises in the image. A particle filter algorithm is then used to track the irises so that the contact lenses chosen by the user can be overlapped on the image to provide a natural examination of the effect of the contact lenses try-on system.
• article_number: 6904023
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6904023
• html_url: https://ieeexplore.ieee.org/document/6904023/
• abstract_url: https://ieeexplore.ieee.org/document/6904023/
• publication_title: 2014 IEEE International Conference on Consumer Electronics - Taiwan
• conference_location: Taipei, Taiwan
• conference_dates: 26-28 May 2014
• publication_number: 6894724
• is_number: 6903991
• publication_year: 2014
• publication_date: 26-28 May 2014
• start_page: 135
• end_page: 136
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 92
• insert_date: 20140922
• index_terms:
  • ieee_terms:
    • Lenses
    • Image color analysis
    • Particle filters
    • Iris
    • Flowcharts
    • Morphology
  • author_terms:
    • FPGA
    • Nios II
    • Eye Tracking
    • Particle Filter
  • dynamic_index_terms:
    • Contact Lens
    • Contact Lenses
    • Try-on System
    • Image Processing
    • Particle Filter
    • Sequential Monte Carlo
    • Eye-tracking
    • Color Space
    • Color Components
    • Median Filter
    • HSV Color
    • HSV Color Space
    • Hue, Saturation, Value
    • Hue-saturation-value
• isbn_formats:
  • format: Electronic ISBN, value: 978-1-4799-4851-2, isbnType: New-2005
• authors:
  • Author Name: Hsiang-Yu Huang
    Affiliation: Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37085383231
    ID: 37085383231
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
  • Author Name: Chen-Chien Hsu
    Affiliation: Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37308458400
    ID: 37308458400
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
  • Author Name: Yan-Jhang Shi
    Affiliation: Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37085394482
    ID: 37085394482
    Order: 3
    Author Affiliations:
    • Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
  • Author Name: Man-Wei Huang
    Affiliation: Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37085373914
    ID: 37085373914
    Order: 4
    Author Affiliations:
    • Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
  • Author Name: Shih-An Li
    Affiliation: Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37598568100
    ID: 37598568100
    Order: 5
    Author Affiliations:
    • Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• 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: enabled by CMOS image sensors, benefiting fields such as medical imaging.
• benefits: enable digital imaging in various applications including smartphones, medical devices, and automotive systems.

Supporting Organizations

• supported_by: not specified

Manuscript Details

• publication_date: 26-28 May 2014

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • 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
  • supported_by

Processed JSON Filename

request_e9048335-ab44-4fc2-a125-12f367578c49-contact_lenses_tryon_system.json