Cmos Image Sensor For Extracting Depth Information Using Pixel Aperture Technique

• doi: 10.1109/I2MTC.2018.8409654
• title: CMOS image sensor for extracting depth information using pixel aperture technique
• publisher: IEEE
• isbn: 978-1-5386-2223-0
• issn:
• rank: 1822
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, complementary metal oxide semiconductor (CMOS) image sensors that can extract depth information using the pixel aperture technique is presented. The pixel array of the proposed image sensor is composed of blue, red, and white pixels, as well as pixel apertures. The apertures are formed by metal pattern in the white pixels. The focused and defocused images are obtained, simultaneously, using the proposed image sensor, and are used for calculating the depth information. The proposed image sensor was designed and fabricated using the 0.11-μm CMOS image sensor process, and its performance was evaluated.
• article_number: 8409654
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409654
• html_url: https://ieeexplore.ieee.org/document/8409654/
• abstract_url: https://ieeexplore.ieee.org/document/8409654/
• publication_title: 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
• conference_location: Houston, TX, USA
• conference_dates: 14-17 May 2018
• publication_number: 8401508
• is_number: 8409512
• publication_year: 2018
• publication_date: 14-17 May 2018
• start_page: 1
• end_page: 5
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 808
• insert_date: 20180712
• index_terms:
  • ieee_terms:
    • Apertures
    • CMOS image sensors
    • Cameras
    • Three-dimensional displays
    • Active pixel sensors
    • Photodiodes
  • author_terms:
    • CMOS
    • image sensor
    • pixel
    • aperture
    • depth from defocus
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Depth Information
    • Extract Depth Information
    • Pixel Aperture
    • Defocus
    • White Pixels
    • Pixel Array
    • Blue Pixels
    • Metallic Patterns
    • Metal Pattern
    • Light Source
    • Time-of-flight
    • Time Of Flight
    • 3D Images
    • Metal Layer
    • Metallic Layer
    • Low Power Consumption
    • Point Spread Function
    • Structured Illumination
    • Structured Light
    • Output Image
    • Active Sensors
    • Stereopsis
    • Stereovision
    • Stereo Vision
    • Stereoscopic Vision
    • PIN Photodiode
    • Point Light Source
    • Chip Size
    • External Light Source
    • Sensor Pixel
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5386-2223-0, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5386-2222-3, isbnType: New-2005
• authors:
  • Author Name: Byoung-Soo Choi
    Affiliation: School of Electronics Engineering, Kyungpook National University, Daegu, Korea
    Author URL: https://ieeexplore.ieee.org/author/37085467553
    ID: 37085467553
    Order: 1
    Author Affiliations:
    • School of Electronics Engineering, Kyungpook National University, Daegu, Korea
  • Author Name: Sang-Hwan Kim
    Affiliation: School of Electronics Engineering, Kyungpook National University, Daegu, Korea
    Author URL: https://ieeexplore.ieee.org/author/37086042022
    ID: 37086042022
    Order: 2
    Author Affiliations:
    • School of Electronics Engineering, Kyungpook National University, Daegu, Korea
  • Author Name: Jimin Lee
    Affiliation: School of Electronics Engineering, Kyungpook National University, Daegu, Korea
    Author URL: https://ieeexplore.ieee.org/author/37086264339
    ID: 37086264339
    Order: 3
    Author Affiliations:
    • School of Electronics Engineering, Kyungpook National University, Daegu, Korea
  • Author Name: Donghyun Seong
    Affiliation: School of Electronics Engineering, Kyungpook National University, Daegu, Korea
    Author URL: https://ieeexplore.ieee.org/author/37086432599
    ID: 37086432599
    Order: 4
    Author Affiliations:
    • School of Electronics Engineering, Kyungpook National University, Daegu, Korea
  • Author Name: Jang-Kyoo Shin
    Affiliation: School of Electronics Engineering, Kyungpook National University, Daegu, Korea
    Author URL: https://ieeexplore.ieee.org/author/37288996500
    ID: 37288996500
    Order: 5
    Author Affiliations:
    • School of Electronics Engineering, Kyungpook National University, Daegu, Korea
  • Author Name: Seunghyuk Chang
    Affiliation: Center for Integrated Smart Sensors, Daejeon, KAIST, Korea
    Author URL: https://ieeexplore.ieee.org/author/37086267326
    ID: 37086267326
    Order: 6
    Author Affiliations:
    • Center for Integrated Smart Sensors, Daejeon, KAIST, Korea
  • Author Name: JongHo Park
    Affiliation: Center for Integrated Smart Sensors, Daejeon, KAIST, Korea
    Author URL: https://ieeexplore.ieee.org/author/37085661138
    ID: 37085661138
    Order: 7
    Author Affiliations:
    • Center for Integrated Smart Sensors, Daejeon, KAIST, Korea
  • Author Name: Sang-Jin Lee
    Affiliation: Center for Integrated Smart Sensors, Daejeon, KAIST, Korea
    Author URL: https://ieeexplore.ieee.org/author/37086269570
    ID: 37086269570
    Order: 8
    Author Affiliations:
    • Center for Integrated Smart Sensors, Daejeon, KAIST, Korea

Image Sensor

• sensor_type: CMOS
• resolution: 1632 (horizontal) x 1124 (vertical)
• dynamic_range:
• pixel_size: 2.8 µm x 2.8 µm
• dark_current:

Optical Data

• focal_length: 16 mm
• aperture: f/1.8 (and f/2.8 in tests)
• field_of_view:
• distortion:

Performance Metrics

• frame_rate:
• signal_to_noise_ratio:
• sensitivity:
• shutter_speed:
• power_consumption: 3.3 V (analog), 1.8 V (digital)
• noise:

Applications & Benefits

• cell_imaging: Applications in object reconstruction, human-motion detection, and face recognition.
• benefits: Low power consumption, single CMOS image sensor for 3D images without external light source or complex systems.

Supporting Organizations

• supported_by: Ministry of Education, Science and Technology, Center for Integrated Smart Sensors, KAIST, BK21 Plus project, Integrated Circuit Design Education Center (IDEC).

Manuscript Details

• publication_date: 14-17 May 2018

Relevancy Score

• score: 10
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

request_4015c76d-c631-4a96-8899-4e312fbe011d-cmos_image_sensor_for_extracting_depth_information_using_pixel_aperture_technique.json