After comparing and analyzing existing face detection methods based on complexion, a skin model used to detect human faces in this thesis, Gaussian distribution model is proposed.
研究了常见的基于肤色的人脸检测算法并分析比较其优缺点,给出本文利用肤色特征进行肤色检测时所采用的肤色模型——高斯分布模型。
Face detection find faces information in the video sequence or image and determine facial size, position, trajectory, attitude, and further human face eyes, lips and other features extraction process.
人脸检测是指在视频序列或图像中寻找所有人脸信息,并确定人脸大小、位置、运动轨迹、姿态,进一步对人脸上的眼睛、嘴唇等特征进行提取的过程。
According to the hue, motion and geometric features of human faces, a method integrated hue analysis and motion detection was raised to remove non-face regions.
针对人脸的色度特性、运动特性和几何特性,提出了一种新的方法进行人脸检测。
This paper proposes a new method of detecting and tracking video-based human faces, which includes the aspects of human face detection and object tracking.
本文提出了一种视频人脸的定位与跟踪算法,包括人脸检测和人脸跟踪两个方面。
The automatic detection and radiation correction of a highlighted face area is helpful to analyze and identify human faces correctly in a color image.
人脸检测和识别受不同环境照明的影响很大,彩色图像中人脸高光区域的自动检测和辐射校正有助于对人脸的正确分析和识别。
By distinguishing human faces in each shot and adjusting the focus and exposure accordingly, Live face Detection allows photographers to ensure their subjects are captured clearly and accurately.
通过区分每个人脸拍摄,调整对焦和曝光因此,让现场摄影师的人脸检测,以确保其主体是清晰,准确地捕捉。
Face detection is the most important aspect of facial analysis, which dealt with the problem is to identify the image (or images) in the presence of human faces, if there is to locate human faces.
用c++编写。人脸检测是人脸分析的首要环节,其处理的问题是确认图像(或影像)中是否存在人脸,如果存在则对人脸进行定位。
Face detection is the most important aspect of facial analysis, which dealt with the problem is to identify the image (or images) in the presence of human faces, if there is to locate human faces.
用c++编写。人脸检测是人脸分析的首要环节,其处理的问题是确认图像(或影像)中是否存在人脸,如果存在则对人脸进行定位。
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