共查询到19条相似文献，搜索用时 156 毫秒
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我抱着慢慢摸索的态度制作出逐格动画《落》,在制作过程中,我注重逐格动画角色设定对动作和材质的关系乃至对整部短片的影响。逐格动画的角色造型设计是将动画的角色转化为三维立体的形象,结合各种材质、服装、动作和面部表情,赋予其艺术感染力和生命力。同时,它的样式与风格从非现实到现实有着巨大的跨度与多样的变化,但是动画造型外在的风格、形态和实现手法在千差万别中又有一个共同点——无论是取材于自然界的形象,还是匪夷所思的幻想形象,都离不开它们作为表达人类精神和情感载体这一特征。每一个动画角色的性格,都是人的某些特征的折射,这是动画形象生命力的所在,也是动画的魅力所在。在前期设计中,剧本没有与逐格动画的制作要求结合起来综合考虑,导致在如何使角色"动起来""怎么动"上做了许多尝试。最终采用拍摄、抠图和后期软件拼合的制作方法,才使片子顺利完成。 相似文献
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maya三维角色动画教学模块是动漫专业《maya动画制作》课程的核心专业技能教学模块,直接对应角色动作调节师这一职业岗位。三维动作调节师不仅需要掌握在三维动画软件中角色动作调节的一般操作,最重要的需要从业者有较高的表演艺术素养,具有掌握角色动作节奏、夸张、表现角色性格等动画运动规律的能力。本文就maya动画制作软件教学中如何结合动画运动规律课程教学进行研究,对如何提高学生动作调节这一职业能力进行探讨。 相似文献
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非语言艺术是指通过使用不属于语言的方式与手段来交流思想、传递信息的沟通艺术。随着世界各国文化交流的日益普遍,英语课堂教学受到普遍关注,英语教师也极力优化课堂,非语言是英语教师越来越青睐的教学艺术。本文从体态动作、面部表情、仪表、多媒体和网络技术方面浅谈英语教师课堂的非语言艺术。 相似文献
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本文对动画面部表情造型的一般方式、技术手段进行了系统归纳,运用这些造型理论和技法,对典型动画形象面部造型进行了系统探析,并分析了国外经典动画片面部造型的特点。联系中国古典戏剧脸谱艺术精粹,在汲取各个国家的优点和本国中的精粹之后,努力在自己制作的动画片《梁祝新传》中有所应用,使人物形象尽可能的生动完美,同时归纳出自己在制作过程中对面部表情造型的新体会。 相似文献
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人脸运动捕捉技术是采用专业的动捕设备对人脸面部表情轨迹进行采集,将捕捉到的人脸面部运动数据进行处理和分析,实现对人脸表情进行动画仿真的一门学科。本文主要介绍了Vicon Cara面部捕捉系统,对人脸面部数据采集方法进行分析与处理应用,主要包括对系统软硬件设备的介绍,人脸面部数据采集准备工作,以及采集后对数据的优化处理等工作。这套系统是目前使用广泛的面部捕捉系统,无论是在影视动画和游戏制作方面,还是语言研究及教学等方面应用越来越多。 相似文献
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Maya是现在最为流行的顶级3D动画软件。本文通过对卡通人物脸部模型的构建和面部表情的制作原理研究,然后运用Maya建立人物卡通模型,并制作出卡通的表情。 相似文献
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体态语言是体育教学中重要的传递方式,它是以身体作为媒介载体的一种语言表达方式。本文拟从现代体育教学的实际需要为出发点,以体态语言在体育教学中的运用策略为切入点,根据教学内容的需要,自然、恰当地运用手势、目光和丰富的面部表情等体态语言来辅助有声语言,为有声有色、生动活泼的课堂教学,提供一定的借鉴作用。 相似文献
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针对部分遮挡的人脸表情识别,提出了一种基于部分遮挡判断的人脸表情识别方法：首先对包含表情信息的静态图像进行Gabor小波变换,提取表情特征矢量,然后用最大相关分类器对特征矢量分类。实验表明,该方法对局部遮挡的人脸表情识别有较强的鲁棒性。 相似文献
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What makes some human faces more attractive than others is an interesting phenomenon which is difficult to explain based on few facial features. Research indicated that many facial parameters contribute to generation of a “harmonious face” which is found appealing by most observers. There are different theories developed on which and how these parameters blend in to make a harmonious face. Determination of these parameters and the underlying mechanism is important since achieving a harmonious face is the primary goal in dental and aesthetic surgical procedures. This article presents a model developed for computer-aided assessment of facial harmony, which assesses the facial harmony of male patients and generates a score that reflect the level of harmony. The computer-aided tool presented in this paper uses “theory of averages” as a mechanism for measurement of facial harmony which is frequently used by aesthetic surgeons and orthodontists for assessment of facial proportions of the patient. The output of the developed model is an index which reflects the degree of harmony of facial features and how well they blend into each other. 相似文献
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认知对情绪的影响一直受到研究者的关注,许多研究表明,认知活动对情绪会产生多方面的效应。因此,文章从注意、记忆对情绪的影响、面部表情识别和情绪调节等方面进行阐述,将认知对情绪影响的研究进行总结,同时提出未来研究的发展方向。 相似文献
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Renting a property via a peer-to-peer platform involves a variety of risks. Humans inherently, subconsciously use facial cues as important shortcuts in making assessments about other persons. On property sharing platforms, such as Airbnb, facial cues can be used in a similar fashion alongside reputational information. According to Dangerous Decisions Theory (DDT), intuitive evaluations of trustworthiness based on faces can bias subsequent assessment of an individual, requiring further information sources to make a more balanced assessment. In this study we apply DDT to demonstrate that evaluations based on perceived facial trustworthiness are overvalued; when combined with reputational measures, such as ‘super host’ status, such assessments are diminished. The study is based on deep learning to classify host faces for a large data set of online accommodation (n = 78,386). The research demonstrates that facial trust cues in online platforms should be treated with caution and must be combined with more objective measures of reputation in order to reduce the effects of overvaluation. The paper concludes with implications for practice and future research. 相似文献
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【目的/意义】个人违约信用风险是网络借贷平台所面临的主要风险之一,引起了金融机构的广泛重视。传
统的P2P网络借贷违约风险预测模型通常使用历史数据建模,而模型的对象主要为历史履约和违约因素,由此带来
的因素选择偏差问题会影响模型的泛化能力和风险预测能力。【方法/过程】本文引入面部特征大数据分析方法,利
用深度学习技术自动抽取人脸面部特征变量,将其作为一个新的维度融入以历史借贷数据为核心的信用风险评价
系统,建构新型信用风险预测模型。【结果/结论】论文基于南京某互联网金融公司提供的数据集进行实验与实证分
析,结果表明本文提出的模型优于传统的违约风险预测模型。【创新/局限】本研究的创新点为一方面基于大数据分
析方法挖掘了真实借款人面部特征在预测互联网信贷背景下的贷款违约中的作用,为互联网信贷的信用风险预测
模型提供了新的数据维度,另一方面为使用深度学习方法自动识别和提取大规模图片数据集中的面部特征提供了
新的思路。 相似文献
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《Information processing & management》2020,57(6):102347
A robust value- and time-continuous emotion recognition has enormous potential benefits within healthcare. For example, within mental health, a real-time patient monitoring system capable of accurately inferring a patient’s emotional state could help doctors make an appropriate diagnosis and treatment plan. Such interventions could be vital in terms of ensuring a higher quality of life for the patient involved. To make such tools a reality, the associated machine learning systems need to be fast, robust and generalisable. In this regard, we present herein, a novel emotion recognition system consisting of the shallowest realisable Convolutional Neural Network (CNN) architecture. We draw insights from visualisations of the trained filter weights and the facial action unit (FAU) activations, i. e. the inputs to the model, of the participants featured in the in-the-wild, spontaneous video-chat sessions of the SEWA corpus. Further, we demonstrate the generalisablity of this approach on the German, Hungarian, and Chinese cultures available in this corpus. The obtained cross-cultural performance is a testimony to the universality of FAUs in expression and understanding of the human affective behaviours. These learnings were moderately consistent with the human perception of emotional expression. The practicality of the proposed approach is also demonstrated in another key healthcare applications; pain intensity prediction. Key results from these experiments highlight the transparency of the shallow CNN structure. As FAU can be extracted in near real-time, and because the models we developed are exceptionally shallow, this study paves the way for a robust, cross-cultural, end-to-end, in-the-wild, explainable real-time affect and pain prediction, that is value- and time-continuous. 相似文献
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Courtney E. Thompson 《Endeavour》2019,43(3):100689
In 1939, an unusual card game, Physogs, debuted in the United Kingdom. Based on physiognomic principles, it instructed players as to how to read and construct facial features and character types. Thirty years later, a new form of composite facial recognition, Photofit, was incorporated into the practice of the British police. Both projects, Physogs and Photofit, were the brainchild of one man, Jacques Penry, representing his twentieth-century iteration of physiognomy. How did a card game become an origin point for a new approach to policing? 相似文献
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《International Journal of Information Management》2016,36(3):397-402
Online video recommender systems help users find videos suitable for their preferences. However, they have difficulty in identifying dynamic user preferences. In this study, we propose a new recommendation procedure using changes of users’ facial expressions captured every moment. Facial expressions portray the users’ actual emotions about videos. We can utilize them to discover dynamic user preferences. Further, because the proposed procedure does not rely on historical rating or purchase records, it properly addresses the new user problem, that is, the difficulty in recommending products to users whose past rating or purchase records are not available. To validate the recommendation procedure, we conducted experiments with footwear commercial videos. Experiment results show that the proposed procedure outperforms benchmark systems including a random recommendation, an average rating approach, and a typical collaborative filtering approach for recommendation to both new and existing users. From the results, we conclude that facial expressions are a viable element in recommendation. 相似文献