Low power CMOS iImage sensor for face recognition
Imaging system is suitable for different purposes, depending upon their final application. Digital cameras, camcorders, webcams, security cameras or infrared (IR) cameras are well-known imaging systems. For complementary metal oxide semiconductor (CMOS) image sensors, its performance is more promisi...
| Hoofdauteurs: | , |
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| Formaat: | Book Section |
| Taal: | English |
| Gepubliceerd in: |
Penerbit UTHM
2020
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| Onderwerpen: | |
| Online toegang: | http://eprints.uthm.edu.my/2739/1/Ch01.pdf |
| _version_ | 1825636934516473856 |
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| author | Chan, Kit Heng Ruslan, Siti Hawa |
| author2 | Mahmud, Farhanahani |
| author_facet | Mahmud, Farhanahani Chan, Kit Heng Ruslan, Siti Hawa |
| author_sort | Chan, Kit Heng |
| collection | UTHM |
| description | Imaging system is suitable for different purposes, depending upon their final application. Digital cameras, camcorders, webcams, security cameras or infrared (IR) cameras are well-known imaging systems. For complementary metal oxide semiconductor (CMOS) image sensors, its performance is more promising compared to charged coupled device (CCD) due to its low power consumption, low cost, and on chip functionality and compatibility with standard CMOS technology [1]. In face recognition mode, three dimensional cameras replaced two-dimensional images to measure the object size, distance and shape with time-of-flight (TOF) cameras. Depth information can be extracted to be compared with database [2]. Therefore, CMOS image sensor with its architecture on pixel array, signal processors, row and column selector and timing control [3] will be the main key. |
| first_indexed | 2024-03-05T21:43:48Z |
| format | Book Section |
| id | uthm.eprints-2739 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:43:48Z |
| publishDate | 2020 |
| publisher | Penerbit UTHM |
| record_format | dspace |
| spelling | uthm.eprints-27392021-11-29T03:22:28Z http://eprints.uthm.edu.my/2739/ Low power CMOS iImage sensor for face recognition Chan, Kit Heng Ruslan, Siti Hawa TK7800-8360 Electronics Imaging system is suitable for different purposes, depending upon their final application. Digital cameras, camcorders, webcams, security cameras or infrared (IR) cameras are well-known imaging systems. For complementary metal oxide semiconductor (CMOS) image sensors, its performance is more promising compared to charged coupled device (CCD) due to its low power consumption, low cost, and on chip functionality and compatibility with standard CMOS technology [1]. In face recognition mode, three dimensional cameras replaced two-dimensional images to measure the object size, distance and shape with time-of-flight (TOF) cameras. Depth information can be extracted to be compared with database [2]. Therefore, CMOS image sensor with its architecture on pixel array, signal processors, row and column selector and timing control [3] will be the main key. Penerbit UTHM Mahmud, Farhanahani Mazlan, Muhammad Hazli Ruslan, Siti Hawa 2020 Book Section PeerReviewed text en http://eprints.uthm.edu.my/2739/1/Ch01.pdf Chan, Kit Heng and Ruslan, Siti Hawa (2020) Low power CMOS iImage sensor for face recognition. In: Advanced Computer Modelling and Electronics Engineering. Penerbit UTHM, pp. 1-10. ISBN 978-967-2389-92-7 |
| spellingShingle | TK7800-8360 Electronics Chan, Kit Heng Ruslan, Siti Hawa Low power CMOS iImage sensor for face recognition |
| title | Low power CMOS iImage sensor for face recognition |
| title_full | Low power CMOS iImage sensor for face recognition |
| title_fullStr | Low power CMOS iImage sensor for face recognition |
| title_full_unstemmed | Low power CMOS iImage sensor for face recognition |
| title_short | Low power CMOS iImage sensor for face recognition |
| title_sort | low power cmos iimage sensor for face recognition |
| topic | TK7800-8360 Electronics |
| url | http://eprints.uthm.edu.my/2739/1/Ch01.pdf |
| work_keys_str_mv | AT chankitheng lowpowercmosiimagesensorforfacerecognition AT ruslansitihawa lowpowercmosiimagesensorforfacerecognition |