Real Time Skinregion Detection With A Singlechip Digital Camera
- doi: 10.1109/ICIP.2001.958112
-
title: Real time skin-region detection with a
single-chip digital camera
- publisher: IEEE
- isbn: 0-7803-6725-1
- issn:
- partnum: 01CH37205
- rank: 3394
- access_type: LOCKED
- content_type: Conferences
-
abstract: This article describes a 30 frames/second VGA
format image sensor made in a standard CMOS process with an embedded
massively parallel processor. The processor is fully programmable and
therefore the sensor IC itself is able to run a variety of algorithms
with data and processing in close vicinity of the sensor. Because of the
parallel architecture comprising processor array and parallel memory
accesses, high computational performances of up to 5 GOPS at 16 MHz are
achieved. This high performance allowed us to implement skin tone
detection on the camera itself as part of a larger system for face
recognition, releasing the host computer of cumbersome pixel processing
tasks and minimizing the data transfer between camera and computer.
- article_number: 958112
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=958112
-
html_url:
https://ieeexplore.ieee.org/document/958112/
-
abstract_url:
https://ieeexplore.ieee.org/document/958112/
-
publication_title: Proceedings 2001 International
Conference on Image Processing (Cat. No.01CH37205)
- conference_location: Thessaloniki, Greece
- conference_dates: 7-10 Oct. 2001
- publication_number: 7594
- is_number: 20708
- publication_year: 2001
- publication_date: 7-10 Oct. 2001
- start_page: 306
- end_page: 309 vol.3
- citing_paper_count: 0
- citing_patent_count: 1
- download_count: 66
- insert_date: 20020807
-
index_terms:
-
ieee_terms:
- Digital cameras
- Energy consumption
- Laboratories
- Parallel architectures
- High performance computing
- Skin
- Computer architecture
- Process control
- Communication system control
- Color
-
dynamic_index_terms:
- Digital Camera
- High Performance
- Parallelization
- Parallel Computing
- Skin Color
- Complexion
- Skin Tone
- Image Sensor
- Camera Sensor
- Data Storage
- Power Consumption
- Input Image
- Analog-to-digital Converter
- Analog-to-digital
- Digital-to-analog Converter
- White Balance
- Color Balance
-
isbn_formats:
-
format: Print ISBN,
value: 0-7803-6725-1,
isbnType: Historical
-
authors:
-
Author Name: R. Kleihorst
Affiliation: Philips Research Laboratories,
Eindhoven, Netherlands
Author URL:
https://ieeexplore.ieee.org/author/37323106200
ID: 37323106200
Order: 1
Author Affiliations:
- Philips Research Laboratories, Eindhoven, Netherlands
-
Author Name: Mi-Suen Lee
Affiliation: Philips Research Laboratories,
Briarcliff Manor, NY, USA
Author URL:
https://ieeexplore.ieee.org/author/37087221740
ID: 37087221740
Order: 2
Author Affiliations:
- Philips Research Laboratories, Briarcliff Manor, NY, USA
-
Author Name: A. Abbo
Affiliation: Philips Research Laboratories,
Eindhoven, Netherlands
Author URL:
https://ieeexplore.ieee.org/author/37427067300
ID: 37427067300
Order: 3
Author Affiliations:
- Philips Research Laboratories, Eindhoven, Netherlands
-
Author Name: E. Cohen-Solal
Affiliation: Philips Research Laboratories,
Briarcliff Manor, NY, USA
Author URL:
https://ieeexplore.ieee.org/author/38277945800
ID: 38277945800
Order: 4
Author Affiliations:
- Philips Research Laboratories, Briarcliff Manor, NY, USA
Image Sensor
- sensor_type: CMOS
- resolution: 640x480
- dynamic_range: N/A
- pixel_size: N/A
- dark_current: N/A
Optical Data
- focal_length: N/A
- aperture: N/A
- field_of_view: N/A
- distortion: N/A
Performance Metrics
- frame_rate: 30 fps
- signal_to_noise_ratio: N/A
- sensitivity: N/A
- shutter_speed: N/A
- power_consumption: N/A
- noise: N/A
Applications & Benefits
-
cell_imaging: The CMOS image sensor is suitable for
preprocessing tasks related to imaging applications such as face
recognition and skin tone detection.
-
benefits: High performance and data rates are achieved
while minimizing power consumption.
Supporting Organizations
- supported_by: Philips Research Laboratories
Manuscript Details
- publication_date: 7-10 Oct. 2001
Relevancy Score
- score: 9
-
missing_fields:
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
request_2196f24f-1e72-42a2-b062-4e7b885e436b-real_time_skinregion_detection_with_a_singlechip_digital_camera.json