靜態影像人臉偵測

Face Detection in Still Image

張元睿(Yuan-Ruei Jhang)

指導教授 ： 翁昭旼

國立臺灣大學/工學院/醫學工程學研究所/碩士(2004年)

https://doi.org/10.6342/NTU.2004.02483

摘要

自動化人臉辨識系統中，須要良好的人臉偵測系統作為前置作業，而一張靜態灰階影像中只有各像素的強度變化值，缺少色彩和序列影像的資訊，因此要能正確圈選出影像中人臉大小和位置增加其困難性。

在目前大多文獻中只利用影像灰階值作為機器學習或統計分析來實作人臉偵測，此方法雖然有不錯的偵測率，但其分類器設計方面較為複雜。本論文提出類似樣板比對方式產生特徵值，再利用較簡單的統計分析來作人臉和非人臉圖樣分類，實驗結果有不錯的偵測率，而此特徵值概念可以應用在其它物件偵測或辨識上。

關鍵字

人臉偵測 ； 影像特徵 ； 機器學習

並列摘要

Within the automatic human face identification system, a good human face detecting system is needed to serve as a prerequisite, yet within a standstill grey scale image, there is only an intensity variation value on each image element, which lacks information on colored and sequential image, therefore, to be able to accurately circle out the size of the human face within the image and its position only increases its difficulty.

Currently majority of the literary review only utilized image’s grey scale value on the mechanical learning or statistic analysis to conduct human face detection, though this method has pretty good detecting ratio, nevertheless, in the area of its classifier design, it can be more complicated. This thesis has proposed a similar template matching method that has produced a feature vector, and then utilized a simpler statistic analysis to conduct sorting on human face and non-human face pattern, the experimental result has a very good detecting ratio; moreover, this feature concept can be applied on detecting other objects or on its identification.

並列關鍵字

face detection ； image feature ； machine learning

參考文獻

1. M. F. Aligusteijn and T. L. Skujca, “identification of Human Faces through Texture-Based Feature Recognition and Neural Network technology, “ Proc.IEEE Conf. Neural Networks, 392-398, 1993.

3. R. Chellappa, C. Wilson, and S. Sirohey, “Human and machine recognition of faces: a Survey,” in proceedings of IEEE, vol. 83, May 1995.

4. Q. Chen, H. Wu, and M. Yachida, “Face Detection by Fuzzy Matching,” Proc. Fifth IEEE Int’l Conf. Computer Vision,591-596, 1995

5. I. Craw, H. Ellis, and .J. Lishman, “Automatic Extraction of face Features,” Pattern Recognition Letters, vol. 5, pp. 183-187, 1987

6. Y. Dai and Y. Nukano, “Face-Texture Model Based on SGLD and Its Application Face Detection in a Color Scene,” Pattern Recognition, vol. 29, no. 6, 1007-1017,1996.