Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Binglong Xie"'
Publikováno v:
Image and Vision Computing. 22:117-125
Effective change detection under dynamic illumination conditions is an active research topic. Most research has concentrated on adaptive statistical representations for the appearance of the background scene. There is limited work that develops the s
Publikováno v:
ITSC
This paper presents a vision-based vehicle detection method, taking into account the lighting context of the images. The adaptability of a vehicle detection system to lighting conditions is an important characteristic on which little research has bee
Publikováno v:
WACV
Single-camera face recognition has severe limitations when the subject is not cooperative, or there are pose changes and different illumination conditions. Face recognition using multiple synchronized cameras is proposed to overcome the limitations.
Publikováno v:
2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety.
Automatic face recognition has a lot of application areas and current single-camera face recognition has severe limitations when the subject is not cooperative, or there are pose changes and different illumination conditions. A face recognition syste
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540408611
DAGM-Symposium
DAGM-Symposium
Face detection using components has been proved to produce superior results due to its robustness to occlusions and pose and illumination changes. A first level of processing is devoted to the detection of individual components, while a second level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119ef754681d3f5de513b8d5b9afb3bb
https://doi.org/10.1007/978-3-540-45243-0_56
https://doi.org/10.1007/978-3-540-45243-0_56
Publikováno v:
2007 IEEE Intelligent Transportation Systems Conference; 2007, p654-660, 7p
Publikováno v:
2006 IEEE International Conference on Computational Intelligence for Homeland Security & Personal Safety; 2006, p18-23, 6p
Publikováno v:
2007 IEEE Workshop on Applications of Computer Vision (WACV '07); 2007, p41-41, 1p