鼻子是人脸中一个突出的器官,其特征不易受面部表情变化的影响.鼻子检测是在图像或图像序列中搜索人鼻的位置及其轮廓线特征,其研究在人脸检测和定位、人脸识别、人脸姿态估计、3D人脸重构等方面具有重要的意义.近年来,研究者们在该领域做了大量研究,提出了很多有效的算法.对相关文献进行了综述,将现有的鼻子检测方法分为基于2D图像的方法和基于3D信息的方法,分析了这两类方法的优缺点.%Nose is a protruding facial feature in the facial organs. And it is less susceptible to the changes in the facial expression. Nose detection means searching for the position and the contour line of the nose in an image or the image sequence. Nose detection is of great significance in face detection and location, face recognition, human face pose estimation, 3D face reconstruction and so on. In this area, researchers have done a lot of research work, and many effective algorithms are provided. The interrelated documents are summarized and the existing methods are classified into two categories, namely the ones based on 2D image and 3D information. The advantages and the disadvantages of these two methods are both analyzed.
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