Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Ye Peng Guan"'
Autor:
Yong Luo, Ye Peng Guan
Publikováno v:
IET Computer Vision, Vol 9, Iss 4, Pp 476-488 (2015)
It is important to efficiently segment motion objects from video in computer vision applications. A novel foreground segmentation approach has been developed based on structural similarity background modelling, which responds quickly to sudden illumi
Externí odkaz:
https://doaj.org/article/e1dc081fc6ad4879a1e348c7827e3e89
Autor:
Zhongkui Fan, Ye-Peng Guan
Publikováno v:
Computer Science and Information Systems. 20:793-812
Recognizing pedestrian attributes has recently obtained increasing attention due to its great potential in person re-identification, recommendation system, and other applications. Existing methods have achieved good results, but these methods do not
Autor:
Zhongkui Fan, Ye-Peng Guan
Publikováno v:
Computer Science and Information Systems. 18:1395-1409
Deep learning has achieved a great success in face recognition (FR), however, little work has been done to apply deep learning for face photo-sketch recognition. This paper proposes an adaptive scale local binary pattern extraction method for optical
Autor:
Zhongkui Fan, Ye-peng Guan
Publikováno v:
Journal of Real-Time Image Processing. 18:999-1009
Most of the CNN (convolutional neural networks) methods require alignment, which will affect the efficiency of verification. This paper proposes a deep face verification framework without alignment. First and foremost, the framework consists of two t
Autor:
Shu Yang, Ye-peng Guan
Publikováno v:
The Journal of Engineering. 2018:190-198
Human–computer interaction (HCI) has great potential for applications in many fields. The diversity of interaction habits and low recognition rate are main factors to limit its development. In this paper, a framework of multi-modality-based HCI is
Autor:
Ye-Peng Guan, Yong Luo
Publikováno v:
IET Computer Vision. 11:550-559
Reliable and accurate facial skin extraction is the most critical and urgent issue for adaptive skin detection. Aiming at resolving this issue, the authors propose an adaptive skin detection method using face location and facial structure estimation.
Autor:
Kang Wei, Ye-peng Guan
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 9:205-216
Autor:
Ye peng Guan, Shu Yang
Publikováno v:
International Journal of Computational Vision and Robotics. 8:300
Human-computer interaction (HCI) has great potential for applications in many fields. The diversity of interaction habits and low recognition rate are main factors to limit its development. In this paper, a framework of multi-modality based human-com
Autor:
Ye-peng Guan
Publikováno v:
Journal of Shanghai University (English Edition). 13:311-315
Face recognition provides a natural visual interface for human computer interaction (HCI) applications. The process of face recognition, however, is inhibited by variations in the appearance of face images caused by changes in lighting, expression, v
Autor:
Ye-Peng Guan
Publikováno v:
Journal of Biomedical Science and Engineering. :425-430
The single image containing only a human face not previously addressed in the literature is employed to estimate body height. The human face especially the facial vertical distribution possesses some important information which strongly correlates wi