• Title/Summary/Keyword: Facial Expression Animation

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Character's facial expression realization program with emotional state dimensions (내적 정서 상태 차원에 근거한 캐릭터 표정생성 프로그램 구현)

  • Ko, Hae-Young;Lee, Jae-Sik;Kim, Jae-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.3
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    • pp.438-444
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    • 2008
  • In this study, we propose a automatic facial expression generation tool which can generate various facial expressions efficiently for animation characters expressing various emotion. For this purpose, 9 types of facial expressions were defined by adopting Russell's pleasure-displeasure and arousal-sleep coordinate values of infernal states. And by rendering specific coordinate values consisted of the two basic dimensions of emotion(i.e., dimensions of pleasure-displeasure and arousal-sleep) and their combination, the proposed automatic facial expression generation tool could yield various facial expressions which reflected subtle changes in characters' emotion. It is expected that the tool could provide useful method of generating character face with various emotion.

A Study on Effective Facial Expression of 3D Character through Variation of Emotions (Model using Facial Anatomy) (감정변화에 따른 3D캐릭터의 표정연출에 관한 연구 (해부학적 구조 중심으로))

  • Kim, Ji-Ae
    • Journal of Korea Multimedia Society
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    • v.9 no.7
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    • pp.894-903
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    • 2006
  • Rapid technology growth of hardware have brought about development and expansion of various digital motion pictured information including 3-Dimension. 3D digital techniques can be used to be diversity in Animation, Virtual-Reality, Movie, Advertisement, Game and so on. 3D characters in digital motion picture take charge of the core as to communicate emotions and information to users through sounds, facial expression and characteristic motions. Concerns about 3D motion and facial expression is getting higher with extension of frequency in use and range about 3D character design. In this study, the facial expression can be used as a effective method about implicit emotions will be studied and research 3D character's facial expressions and muscles movement which are based on human anatomy and then try to find effective method of facial expression. Finally, also, study the difference and distinguishing between 2D and 3D character through the preceding study what I have researched before.

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Facial Characteristic Point Extraction for Representation of Facial Expression (얼굴 표정 표현을 위한 얼굴 특징점 추출)

  • Oh, Jeong-Su;Kim, Jin-Tae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.1
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    • pp.117-122
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    • 2005
  • This paper proposes an algorithm for Facial Characteristic Point(FCP) extraction. The FCP plays an important role in expression representation for face animation, avatar mimic or facial expression recognition. Conventional algorithms extract the FCP with an expensive motion capture device or by using markers, which give an inconvenience or a psychological load to experimental person. However, the proposed algorithm solves the problems by using only image processing. For the efficient FCP extraction, we analyze and improve the conventional algorithms detecting facial components, which are basis of the FCP extraction.

Study of expression in virtual character of facial smile by emotion recognition (감성인식에 따른 가상 캐릭터의 미소 표정변화에 관한 연구)

  • Lee, Dong-Yeop
    • Cartoon and Animation Studies
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    • s.33
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    • pp.383-402
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    • 2013
  • In this study, we apply the facial Facial Action Coding System for coding the muscular system anatomical approach facial expressions to be displayed in response to a change in sensitivity. To verify by applying the virtual character the Duchenne smile to the original. I extracted the Duchenne smile by inducing experiment of emotion (man 2, woman 2) and the movie theater department students trained for the experiment. Based on the expression that has been extracted, I collect the data of the facial muscles. Calculates the frequency of expression of the face and other parts of the body muscles around the mouth and lips, to be applied to the virtual character of the data. Orbicularis muscle to contract end of lips due to shrinkage of the Zygomatic Major is a upward movement, cheek goes up, the movement of the muscles, facial expressions appear the outer eyelid under the eye goes up with a look of smile. Muscle movement of large muscle and surrounding Zygomatic Major is observed together (AU9) muscles around the nose and (AU25, AU26, AU27) muscles around the mouth associated with openness. Duchen smile occurred in the form of Orbicularis Oculi and Zygomatic Major moves at the same time. Based on this, by separating the orbicularis muscle that is displayed in the form of laughter and sympathy to emotional feelings and viable large muscle by the will of the person, by applying to the character of the virtual, and expression of human I try to examine expression of the virtual character's ability to distinguish.

Facial Expression Control of 3D Avatar by Hierarchical Visualization of Motion Data (모션 데이터의 계층적 가시화에 의한 3차원 아바타의 표정 제어)

  • Kim, Sung-Ho;Jung, Moon-Ryul
    • The KIPS Transactions:PartA
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    • v.11A no.4
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    • pp.277-284
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    • 2004
  • This paper presents a facial expression control method of 3D avatar that enables the user to select a sequence of facial frames from the facial expression space, whose level of details the user can select hierarchically. Our system creates the facial expression spare from about 2,400 captured facial frames. But because there are too many facial expressions to select from, the user faces difficulty in navigating the space. So, we visualize the space hierarchically. To partition the space into a hierarchy of subspaces, we use fuzzy clustering. In the beginning, the system creates about 11 clusters from the space of 2,400 facial expressions. The cluster centers are displayed on 2D screen and are used as candidate key frames for key frame animation. When the user zooms in (zoom is discrete), it means that the user wants to see mort details. So, the system creates more clusters for the new level of zoom-in. Every time the level of zoom-in increases, the system doubles the number of clusters. The user selects new key frames along the navigation path of the previous level. At the maximum zoom-in, the user completes facial expression control specification. At the maximum, the user can go back to previous level by zooming out, and update the navigation path. We let users use the system to control facial expression of 3D avatar, and evaluate the system based on the results.

Research about the Abstraction of Area Typicality of Emotions for Systematization of Human's Sensitivity Symbol (인간의 감성기호 체계화를 위한 감정영역범주화에 관한 연구)

  • Yun Bong-Shik
    • The Journal of the Korea Contents Association
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    • v.5 no.2
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    • pp.137-145
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    • 2005
  • This study is a model of research for the developing 3D character contents about facial expression as a sort of non-linguistic signs, focusing on an expression of emotion factors of a person. It contributes a framework for symbolic analysis about Human's emotions along with a general review of expression. The human face is the most complex and versatile of all species. For humans, the face is a ich and versatile instrument serving many different functions. It serves as a window to display one's own motivational state. This makes one's behavior more predictable and understandable to others and improves communication. The face can be used to supplement verbal communication. A prompt facial display can reveal the speaker's attitude about the information being conveyed. Alternatively, the face can be used to complement verbal communication, such as lifting of eyebrows to lend additional emphasis to stressed word. The facial expression plays a important role under the digital visual context. This study will present a frame of facial expression categories for effective manufacture of cartoon and animation that appeal to the visual emotion of the human.

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A Study on Facial expressions for the developing 3D-Character Contents (3D캐릭터콘텐츠제작을 위한 표정에 관한 연구)

  • 윤봉식;김영순
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.478-484
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    • 2004
  • This study is a fundamental research for the developing 3D character contents about facial expression as a sort of non-linguistic signs, focusing on an expression of emotion factors of a person. It contributes a framework for symbolic analysis about Human's emotions along with a general review of expression. The human face is the most complex and versatile of all species. For humans, the face is a rich and versatile instrument serving many different functions. It serves as a window to display one's own motivational state. This makes one's behavior more predictable and understandable to others and improves communication. The face can be used to supplement verbal communication. A prompt facial display can reveal the speaker's attitude about the information being conveyed. Alternatively, the face can be used to complement verbal communication, such as lifting of eyebrows to lend additional emphasis to stressed word. The facial expression plays a important role under the digital visual context. This study will present a frame of facial expression categories for effective manufacture of cartoon and animation that appeal to the visual emotion of the human.

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Impact Analysis of nonverbal multimodals for recognition of emotion expressed virtual humans (가상 인간의 감정 표현 인식을 위한 비언어적 다중모달 영향 분석)

  • Kim, Jin Ok
    • Journal of Internet Computing and Services
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    • v.13 no.5
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    • pp.9-19
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    • 2012
  • Virtual human used as HCI in digital contents expresses his various emotions across modalities like facial expression and body posture. However, few studies considered combinations of such nonverbal multimodal in emotion perception. Computational engine models have to consider how a combination of nonverbal modal like facial expression and body posture will be perceived by users to implement emotional virtual human, This paper proposes the impacts of nonverbal multimodal in design of emotion expressed virtual human. First, the relative impacts are analysed between different modals by exploring emotion recognition of modalities for virtual human. Then, experiment evaluates the contribution of the facial and postural congruent expressions to recognize basic emotion categories, as well as the valence and activation dimensions. Measurements are carried out to the impact of incongruent expressions of multimodal on the recognition of superposed emotions which are known to be frequent in everyday life. Experimental results show that the congruence of facial and postural expression of virtual human facilitates perception of emotion categories and categorical recognition is influenced by the facial expression modality, furthermore, postural modality are preferred to establish a judgement about level of activation dimension. These results will be used to implementation of animation engine system and behavior syncronization for emotion expressed virtual human.

A Study on 3D Character Animation Production Based on Human Body Anatomy (인체 해부학을 바탕으로 한 3D 캐릭터 애니메이션 제작방법에 관한 연구)

  • 백승만
    • Archives of design research
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    • v.17 no.2
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    • pp.87-94
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    • 2004
  • 3D character animation uses the various entertainment factors such as movie, advertisement, game and cyber idol and occupies an important position in video industry. Although character animation makes various productions and real expressions possible, it is difficult to make character like human body without anatomical understanding of human body. Human body anatomy is the basic knowledge which analyzes physical structure anatomically, gives a lot of helps to make character modeling and make physical movement and facial expression delicately when character animation is produced. Therefore this study examines structure and proportion of human body and focuses on character modeling and animation production based on anatomical understanding of human body.

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Direct Retargeting Method from Facial Capture Data to Facial Rig (페이셜 리그에 대한 페이셜 캡처 데이터의 다이렉트 리타겟팅 방법)

  • Cho, Hyunjoo;Lee, Jeeho
    • Journal of the Korea Computer Graphics Society
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    • v.22 no.2
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    • pp.11-19
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    • 2016
  • This paper proposes a method to directly retarget facial motion capture data to the facial rig. Facial rig is an essential tool in the production pipeline, which allows helping the artist to create facial animation. The direct mapping method from the motion capture data to the facial rig provides great convenience because artists are already familiar with the use of a facial rig and the direct mapping produces the mapping results that are ready for the artist's follow-up editing process. However, mapping the motion data into a facial rig is not a trivial task because a facial rig typically has a variety of structures, and therefore it is hard to devise a generalized mapping method for various facial rigs. In this paper, we propose a data-driven approach to the robust mapping from motion capture data to an arbitary facial rig. The results show that our method is intuitive and leads to increased productivity in the creation of facial animation. We also show that our method can retarget the expression successfully to non-human characters which have a very different shape of face from that of human.