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破译的脸

Deciphering the Face
课程网址: http://videolectures.net/gesturerecognition2011_martinez_decipher...  
主讲教师: Martinez Aleix M
开课单位: 俄亥俄州立大学
开课时间: 2011-08-24
课程语种: 英语
中文简介:
人类认知的理解已经取得了很大的进展。然而,对于面部感知知之甚少。情感的面部表情就是这种局限性的一个明显例子。已经确定了基础肌肉是如何响应感觉到的情绪而运动的,但对于视觉系统如何解释这些结构以及如何构建模拟人类感知的强大的计算机视觉系统知之甚少。在这篇演讲中,我们将回顾最近关于这一主题的文献,并提出一个感知面部表情的模型。我们将证明不同的情绪在人类行为/认知中有不同的用途,这表明在识别不同的情绪时,不同的机制发挥着作用。这与认知科学中的连续模型和计算机视觉中通常定义的多维方法相矛盾。我们提出了另一种对面部表情感知的分类方法,并表明,结构和形状特征对于识别情绪结构最重要,如悲伤、愤怒、惊讶和快乐。我们将强调这些结果对构建计算机视觉系统(用于自动分析和识别面部表情)的影响及其在人机交互系统中的重要性。我们还将讨论这些发现在其他面部感知任务的计算模型中的意义,例如身份、性别和语法。**//免责声明:/由于口译员不是相关领域的专家,在没有全面准备的情况下进行同声翻译,因此口译可能存在错误或遗漏。**
课程简介: Much progress has been made to understand human cognition. Yet, little is know about face perception. Facial expressions of emotions is a clear example of this limitation. It has been established how the underlying muscles move in response to felt emotions, but little is known on how these constructs are interpreted by the visual system and how to build robust computer vision systems that emulate human perception. In this talk, we will review the recent literature on this subject and proposes a model for the perception of facial expressions of emotion. We will show that different emotions have diverse uses in human behavior/cognition, suggesting that different mechanisms are in play when recognizing distinct emotions. This is in contradiction to the continuous models in cognitive science and the multidimensional approaches typically defined in computer vision. We propose an alternative categorical approach to the perception of facial expressions and show that configural and shape features are most important for the recognition of emotional constructs such as sadness, anger, surprise and joy. We will emphasize the implications of these results on the construction of computer vision systems for the automatic analysis and recognition of facial expressions and its importance in human-computer interaction systems. We will also discuss the implications of these findings in computational models of other face perception tasks, e.g., identity, gender and grammar. **//Disclaimer:// There may be mistakes or omissions in the interpretation as the interpreters are not experts in the field of interest and performed a simultaneous translation without comprehensive preparation.**
关 键 词: 视觉系统; 人机交互系统; 计算模型
课程来源: 视频讲座网
最后编审: 2019-12-08:lxf
阅读次数: 56