Facial expression synthesis, facial aging and the reconstruction of the invisible facial views are important research contents in the computer vision and computer graphics fields. 人脸表情变换、年龄变换和非完整信息重构是计算机视觉与图像处理领域的重要研究内容。
Facial Expression Recognition Technique Based on Robot Vision 基于机器人视觉的面部表情识别技术研究
Since a long time, facial image synthesis has been a hot research topic in the fields of computer graphics, image process and computer vision. 长期以来,在计算机图形学、图像处理和计算机视觉这三个学科领域中,人脸的计算机模拟合成一直是个研究的热点。
The dissertation focuses on the following three aspects: MPEG-4-based facial action coding system, text driven facial animation and speech driven facial animation, which have always been challenges in computer vision and computer graphics. 本文的工作包括三个方面:基于MPEG-4标准的面部动作编码、中文文本驱动的人脸动画、连续汉语语音驱动的人脸动画,他们也一直是计算机视觉和计算机图形学中一直具有挑战性的研究课题。
An algorithm to detect drowsy drive of based on facial vision 一种基于人脸视觉的驾驶疲劳检测的算法
Because of its important applications in security access control, content-based retrieval, video conferencing, facial expression recognition and other fields, face detection have begun to be a very active research topic on the field of computer vision and pattern recognition in recent years. 由于其在安全访问控制、基于内容的图像检索、视频会议、表情识别等众多领域具有重要的应用价值,近年来人脸检测成为计算机视觉与模式识别领域非常活跃的研究课题。
As an important part of the human-computer interaction technology, facial expression recognition involves several research fields, such as computer vision, emotion computing, image processing, intelligent control and pattern recognition. Recently, it becomes the research hot and difficult at home and abroad. 作为人机交互技术的重要组成部分,表情识别技术涉及计算机视觉、情感计算、图像处理、智能控制和模式识别等多个研究领域,成为近年来国内外的研究热点。
Multi-feature fusion non-intrusive recognition of driver fatigue based on facial visual cues and computer vision technology has achieved some results. However, facial visual cues based mental fatigue recognition faces two major challenges. 基于计算机视觉技术,以面部视频为基础,融合多种特征对驾驶疲劳进行非侵扰式识别已经取得了一些成果。
Facial expression recognition is a challenging cross-subject, involving research field of biometrics, pattern recognition, image processing, machine vision, physiology, psychology and other. 人脸表情识别是一个极富挑战性的交叉课题,涉及生物特征识别、模式识别、图像处理、机器视觉、生理学、心理学等研究领域。
The body language is refers to the human communication through the body postures, the facial expression, the hand signal, the vision as well as the position and distance between each other and so on to a non-verbal forms of passing information. 第一部分主要是论述身体语言的基本特性,身体语言是指人际交往中通过身体姿势,面部表情、手势,目光以及彼此间的位置和距离等等来传递信息的一种非语言形式。
Aging simulation based on facial image is a very important research topic in the fields of computer vision and image processing, as well as an important research aspect and technical difficulties in the face recognition field. 基于人脸图像的老化模拟技术是计算机视觉与图像处理领域的重要研究内容,也是人脸识别领域的一个重要研究方向和技术难点。
Face modeling and facial animation is one of the most fundamental and most difficult issues in computer graphics and computer vision fields, while the problem is also a cross-disciplinary issue of physiology, psychology, physics and other fields. 人脸建模和人脸动画是目前计算机图形学、计算机视觉领域最根本、最困难的问题之一,同时该问题也是包括生理学、心理学、物理学等多个领域的跨学科问题。
Facial expression recognition is an engineering technology of great application value involved in the field of pattern recognition and machine vision. 人脸表情识别是涉及模式识别和机器视觉领域的极具应用价值的工程技术。
The facial expression recognition is an important part of affective computing and intelligent human-computer interaction, related to computer vision, pattern recognition, psychology and other challenging field. 而人脸表情识别是情感计算、智能人机交互的重要组成部分,涉及到计算机视觉、模式识别、心理学等相关领域。
Facial expression recognition has been one of the most active research topics in computer vision and pattern recognition, and it is an important part of biological recognition technology. 人脸表情识别是计算机视觉和模式识别研究中的热点问题,同时也是生物识别的一个重要部分,近年来受到越来越多研究者的关注。
Facial feature point location is one of the fundamental and crucial problems in the field of facial recognition, computer vision and graphics. 人脸面部的关键特征点定位既是人脸识别研究领域中的一个关键问题,也是计算机视觉和图形学领域的一个基本问题。
This paper mainly works as follows: 1 、 From Marr visual theory, this paper comprehensive overview the background and significance,, research status and development trend of facial expression about binocular vision system. 本文主要做了以下工作:1、本文从Marr的视觉理论出发,全面综述了双目立体视觉系统的研究背景、意义、国内外研究现状和发展趋势。
Automatic Face Recognition ( AFR) is a technology for person authentication by using the digitized facial features. For the past two decades, it has become one of the most challenging research topics in the field of image processing, pattern recognition and computer vision. 人脸自动识别是一种利用计算机分析人脸图像特征以实现人的身份验证的技术,是近二十年来图像处理、模式识别和计算机视觉领域中极富挑战性的研究课题之一。
With the continuous development of augmented reality technology, facial augmented reality becomes an active topic in both computer vision and computer graphics, which has broad prospects of applications in entertainment industry, such as human-machine interaction, multimedia and video communication, ect. 随着增强现实技术的不断发展,人脸增强现实是当前计算机视觉与计算机图形学领域的一个研究热点,在娱乐产业、人机交互、多媒体以及视频通讯等领域具有广泛的应用前景。