| Multi-face detection based on downsampling and modified subtractive clustering for color images |
| |
| 作者姓名： | KONG Wan-zeng ZHU Shan-an |
| |
| 作者单位： | School of Electrical Engineering，Zhejiang University，Hangzhou 310027，China |
| |
| 摘 要： | INTRODUCTION Face detection has been widely used in fields such as security, multimedia retrieval, human com-puter interaction, etc. Therefore it becomes one of the most active research areas in computer science. Re-cently, approaches to face detection include neural network (Rowley et al., 1998), boosting (Viola, 2001; Viola and Jones, 2004), template matching (Kim et al.,2000) and skin color (Cai and Goshtasby, 1999; Wang and Yuan, 2001; Soriano et al., 2003), etc. The methods of n…
|
| 关 键 词： | 皮肤颜色 彩色图象 多人脸检测 下采样 改良减法聚类 |
| 收稿时间： | 2006-01-09 |
| 修稿时间： | 2006-08-02 |
Multi-face detection based on downsampling and modified subtractive clustering for color images |
| |
| KONG Wan-zeng ZHU Shan-an.Multi-face detection based on downsampling and modified subtractive clustering for color images[J].Journal of Zhejiang University Science,2007,8(1):72-78. |
| |
| Authors: | Wan-zeng Kong Shan-an Zhu |
| |
| Institution: | (1) School of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China |
| |
| Abstract: | This paper presents a multi-face detection method for color images. The method is based on the assumption that faces are well separated from the background by skin color detection. These faces can be located by the proposed method which modifies the subtractive clustering. The modified clustering algorithm proposes a new definition of distance for multi-face detection, and its key parameters can be predetermined adaptively by statistical information of face objects in the image. Downsampling is employed to reduce the computation of clustering and speed up the process of the proposed method. The effectiveness of the proposed method is illustrated by three experiments. |
| |
| Keywords: | Multi-face detection Skin color Modified subtractive clustering Downsampling |
| 本文献已被 CNKI 维普 SpringerLink 等数据库收录！ |
