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Perceptual validity in animation of human motion

Published: 01 January 2016 Publication History
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  • Abstract

    The crucial concept of modeling and synthesis/control of human motion including face and body for animation has been widely studied and explored in the literature. In this regard, the audience's perception of generated or recorded animation scenes is of critical importance. In this paper, we explore and conceptualize the general notions that need to be taken into account for human motion to maintain perceptual accuracy. We propose a paradigm called Perceptual Validity composed of four major components, which are discussed in detail. The model is concerned with different aspects of the scene such as correct illustration of the stimuli, context, and local/global relations of various visual cues present in human motion. Satisfying all the proposed principles, based on the literature, seems compulsory and vital for synthesis of perceptually valid animation scenes of human motion. We investigate the relative significance of the different components of the paradigm using feedback from expert animators and conduct a case study on one of the components of the paradigm. For further evaluation and exploration, Disney's principles of animation are discussed and compared against our proposed paradigm. We argue that while there are significant parallels and overlaps, our model is only focused on and more inclusive towards human motion and can therefore provide a valuable set of guidelines for animators in the field of character animation. Copyright © 2015 John Wiley & Sons, Ltd.

    References

    [1]
    Etemad SA, Arya A. Modeling and transformation of 3D human motion. In Proceedings of the 5th International Conference on Computer Graphics Theory and Applications, Angers, 2010; pp.307-315.
    [2]
    Darwin C. The Expression of the Emotions in Man and Animals. John Murray: London, 1872.
    [3]
    Cassell J, Pelachaud C, Badler N, et al. Animated conversation: rule-based generation of facial expression, gesture & spoken intonation for multiple conversational agents. In Proceedings of the 21st Annual ACM Conference on Computer Graphics and Interactive Techniques, Orlando, 1994; pp.413-420.
    [4]
    Etemad SA, Arya A. Classification and translation of style and affect in human motion using RBF neural networks. Neurocomputing 2014; Volume 129: pp.585-595.
    [5]
    Thomas F, Johnston O. The Illusion of Life: Disney Animation. New York: Hyperion. Chicago, 1995.
    [6]
    Lasseter J. Principles of traditional animation applied to 3D computer animation. ACM SIGGRAPH Computer Graphics 1987; Volume 21 Issue 4: pp.35-44.
    [7]
    Jones CCA. The Life and Times of an Animated Cartoonist. Farrar, Straus & Giroux: New York, 1989.
    [8]
    Miller EF. David Hume, essays, moral, political, and literaryLF ed, 1985.
    [9]
    Alam M, Dover JS. On beauty: evolution, psychosocial considerations, and surgical enhancement. Archives of Dermatology 2001; Volume 137 Issue 6: pp.795-807.
    [10]
    Neff M, Fiume E. Aesthetic edits for character animation. In Proceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, San Diego, 2003; pp.239-244.
    [11]
    Neff M, Fiume E. AER: aesthetic exploration and refinement for expressive character animation. In Proceedings of the 2005 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, Los Angeles, 2005; pp.161-170.
    [12]
    Neff M, Fiume E. Methods for exploring expressive stance. Graphical Models 2006; Volume 68 Issue 2: pp.133-157.
    [13]
    Aizawa K, Kodama K, Kubota A. Producing object-based special effects by fusing multiple differently focused images. IEEE Transactions on Circuits and Systems for Video Technology 2000; Volume 10 Issue 2: pp.323-330.
    [14]
    Jhala A, Young MR. Cinematic visual discourse: representation, generation, and evaluation. IEEE Transactions on Computational Intelligence and AI in Games 2010; Volume 2 Issue 2: pp.69-81.
    [15]
    Browne C, Maire F. Evolutionary game design. IEEE Transactions on Computational Intelligence and AI in Games 2010; Volume 2 Issue 1: pp.1-16.
    [16]
    Colton S. Creativity versus the perception of creativity in computational systems. In Proceedings of the AAAI Spring Symposium on Creative Systems, Palo Alto, 2008; pp.14-20.
    [17]
    Pedersen C, Togelius J, Yannakakis GN. Modeling player experience for content creation. IEEE Transactions on Computational Intelligence and AI in Games 2010; Volume 2 Issue 1: pp.54-67.
    [18]
    Yannakakis GN, Hallam J. Real-time game adaptation for optimizing player satisfaction. IEEE Transactions on Computational Intelligence and AI in Games 2009; Volume 1 Issue 2: pp.121-133.
    [19]
    McGloin R, Nowak KL, Stiffano SC, Flynn GM. The Effect of Avatar Perception on Attributions of Source and Text Credibility. Temple University: Philidelphia, PA, 2010.
    [20]
    Reitsma PS, Pollard NS. Perceptual metrics for character animation: sensitivity to errors in ballistic motion. ACM Transactions on Graphics 2003; Volume 22 Issue 3: pp.537-542.
    [21]
    Ren L, Patrick A, Efros AA, Hodgins JK, Rehg JM. A data-driven approach to quantifying natural human motion. ACM Transactions on Graphics 2005; Volume 24 Issue 3: pp.1090-1097.
    [22]
    Tang JK, Leung H, Komura T, Shum HP. Emulating human perception of motion similarity. Computer Animation and Virtual Worlds 2008; Volume 19 Issue 3-4: pp.211-221.
    [23]
    O'Sullivan C, Howlett S, Morvan Y, McDonnell R, O'Conor K. Perceptually adaptive graphics. Euro-graphics State of the Art Reports 2004; Volume 4: pp.1-24.
    [24]
    Barzel R, Hughes J, Wood DN. Plausible motion simulation for computer graphics animation. In Computer Animation and Simulation, In Proceedings of the Eurographics Workshop Computer Animation and Simulation, Boulic R, Hégron G eds. Springer, 1996; pp.183-197.
    [25]
    Harrison J, Rensink RA, Van De Panne M. Obscuring length changes during animated motion. ACM Transactions on Graphics 2004; Volume 23 Issue 3: pp.569-573.
    [26]
    Garcia M, Dingliana J, O'Sullivan C. Perceptual evaluation of cartoon physics: accuracy, attention, appeal. In Proceedings of the 5th ACM Symposium on Applied Perception in Graphics and Visualization, Los Angeles, 2008; pp.107-114.
    [27]
    Inman VT, Eberhart HD. The major determinants in normal and pathological gait. The Journal of Bone & Joint Surgery 1953; Volume 3 Issue 35: pp.543-558.
    [28]
    Murray MP, Drought AB, Kory RC. Walking patterns of normal men. The Journal of Bone & Joint Surgery 1964; Volume 46 Issue 2: pp.335-360.
    [29]
    Murray MP. Gait as a total pattern of movement: including a bibliography on gait. American Journal of Physical Medicine & Rehabilitation 1967; Volume 46 Issue 1: pp.290-333.
    [30]
    Napier J. The antiquity of human walking. Scientific American 1967; Volume 216 Issue 4: pp.56.
    [31]
    Murray MP, Kory RC, Sepic SB. Walking patterns of normal women. Archives of Physical Medicine and Rehabilitation 1970; Volume 51 Issue 11: pp.637.
    [32]
    Johansson G. Visual perception of biological motion and a model for its analysis. Perception & Psychophysics 1973; Volume 14 Issue 2: pp.201-211.
    [33]
    Barclay CD, Cutting JE, Kozlowski LT. Temporal and spatial factors in gait perception that influence gender recognition. Perception & Psychophysics 1978; Volume 23 Issue 2: pp.145-152.
    [34]
    Dittrich WH. Action categories and the perception of biological motion. Perception 1993; Volume 22 Issue 1: pp.15-22.
    [35]
    Bertenthal BI, Pinto J. Global processing of biological motions. Psychological Science 1994; Volume 5 Issue 4: pp.221-225.
    [36]
    Kozlowski LT, Cutting JE. Recognizing the sex of a walker from a dynamic point-light display. Perception & Psychophysics 1977; Volume 21 Issue 6: pp.575-580.
    [37]
    Mather G, Murdoch L. Gender discrimination in biological motion displays based on dynamic cues. Proceedings of the Royal Society of London Series B: Biological Sciences 1994; Volume 258 Issue 1353: pp.273-279.
    [38]
    Saunders DR, Williamson DK, Troje NF. Gaze patterns during perception of direction and gender from biological motion. Journal of Vision 2010; Volume 10 Issue 11: pp.9.
    [39]
    Cutting JE, Kozlowski LT. Recognizing friends by their walk: gait perception without familiarity cues. Bulletin of the Psychonomic Society 1977; Volume 9 Issue 5: pp.353-356.
    [40]
    Jokisch D, Daum I, Troje NF. Self recognition versus recognition of others by biological motion: viewpoint-dependent effects. Perception 2006; Volume 35: pp.911-920.
    [41]
    Dittrich WH, Troscianko T, Lea SE, Morgan D. Perception of emotion from dynamic point-light displays represented in dance. Perception 1996; Volume 25 Issue 6: pp.727-738.
    [42]
    Atkinson AP, Dittrich WH, Gemmell AJ, Young AW. Emotion perception from dynamic and static body expressions in point-light and full-light displays. Perception 2004; Volume 33: pp.717-746.
    [43]
    Pollick FE, Paterson HM, Bruderlin A, Sanford AJ. Perceiving affect from arm movement. Cognition 2001; Volume 82 Issue 2: pp.B51-B61.
    [44]
    Patterson HM, Pollick FE, Sanford AJ. The role of velocity in affect discrimination. In Proceedings of the Twenty-Third Annual Conference of the Cognitve Science Society, Edinburgh, 2001; pp.756-761.
    [45]
    Roether CL, Omlor L, Christensen A, Giese MA. Critical features for the perception of emotion from gait. Journal of Vision 2009; Volume 9 Issue 6: pp.15.
    [46]
    Hodgins JK, O'Brien JF, Tumblin J. Perception of human motion with different geometric models. IEEE Transactions on Visualization and Computer Graphics 1998; Volume 4 Issue 4: pp.307-316.
    [47]
    McDonnell R, Jörg S, Hodgins JK, Newell F, O'sullivan C. Evaluating the effect of motion and body shape on the perceived sex of virtual characters. ACM Transactions on Applied Perception 2009; Volume 5 Issue 4: pp.20.
    [48]
    Etemad SA, Arya A, Parush A. Additivity in perception of affect from limb motion. Neuroscience Letters 2014; Volume 558: pp.132-136.
    [49]
    Etemad SA, Arya A, Parush A. Spatial perceptual weights of energy-related features in animation of human motion. In Proceedings of Computer Graphics International, Ottawa, 2011; pp.S15.
    [50]
    Blake R, Shiffrar M. Perception of human motion. Annual Reviews of Psychology 2007; Volume 58: pp.47-73.
    [51]
    Kleinsmith A, Bianchi-Berthouze N. Affective body expression perception and recognition: a survey. IEEE Transactions on Affective Computing 2013; Volume 4 Issue 1: pp.15-33.
    [52]
    Etemad SA, Payeur P, Arya A. Automatic temporal location and classification of human actions based on optical features. In Proceedings of the 2nd IEEE International Congress on Image and Signal Processing, Tianjin, 2009; pp.1-5.
    [53]
    Lee J, Chai J, Reitsma PS, Hodgins JK, Pollard NS. Interactive control of avatars animated with human motion data. ACM Transactions on Graphics 2002; Volume 21 Issue 3: pp.491-500.
    [54]
    Popovic Z. Editing dynamic properties of captured human motion. In Proceedings of the IEEE International Conference on Robotics and Automation, San Francisco, 2000; pp.670-675.
    [55]
    Calder AJ, Young AW. Understanding the recognition of facial identity and facial expression. Nature Reviews Neuroscience 2005; Volume 6: pp.641-651.
    [56]
    Ekman P, Friesen W. Facial action coding system. Consulting Psychologists Press, 1977.
    [57]
    Kshirsagar S, Magnenat-Thalmann N. A multilayer personality model. In Proceedings of the 2nd International Symposium on Smart Graphics, Hawthorne ACM: New York, USA, 2002; pp.107-115.
    [58]
    Rousseau D, Hayes-Roth B. Interacting with personality-rich characters. Report No. KSL 97, 1997; pp.6.
    [59]
    Egges A, Kshirsagar S, Magnenat-Thalmann N. A Model for Personality and Emotion Simulation. Proc. Knowledge-Based Intelligent Information & Eng. Systems KES '03, 2003; pp.453-461.
    [60]
    Pelachaud C, Bilvi M. Computational model of believable conversational agents. Communication in Multiagent Systems 2003; pp.300-317.
    [61]
    Wiggins JS, Trapnell P, Phillips N. Psychometric and geometric characteristics of the revised interpersonal adjective scales IAS-R. Multivariate Behavioral Research 1998; Volume 23 Issue 4: pp.517-530.
    [62]
    Arya A, Jefferies LN, Enns JT, DiPaola S. Facial actions as visual cues for personality. Computer Animation and Virtual Worlds 2006; Volume 17 Issue 3-4: pp.371-382.
    [63]
    Posner J, Russell JA, Peterson BS. The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and Psychopathology 2005; Volume 17 Issue 3: pp.715-734.
    [64]
    Mehrabian A. Framework for a comprehensive description and measurement of emotional states. Genetic, Social, and General Psychology Monographs 1995; Volume 121: pp.339-361.
    [65]
    Tiedens LZ, Linton S. Judgment under emotional certainty and uncertainty: the effects of specific emotions on information processing. Journal of Personality and Social Psychology 2001; Volume 81 Issue 6: pp.973-988.
    [66]
    Ruth JA, Brunel FF, Otnes CC. Linking thoughts to feelings: investigating cognitive appraisals and consumption emotions in a mixed-emotions context. Journal of the Academy of Marketing Science 2002; Volume 30 Issue 1: pp.44-58.
    [67]
    Wallraven C, Breidt M, Cunningham DW, Bülthoff HH. Evaluating the perceptual realism of animated facial expressions. ACM Transactions on Applied Perception 2008; Volume 4 Issue 4: pp.4.
    [68]
    Pelachaud C. Modelling multimodal expression of emotion in a virtual agent. Philosophical Transactions of the Royal Society, B: Biological Sciences 2009; Volume 364 Issue 1535: pp.3539-3548.
    [69]
    Ekman P. Basic Emotions. In Dalgleish T, Power T eds. The Handbook of Cognition and Emotion, Sussex, U.K.: John Wiley & Sons, Ltd, 1999; pp.45-60.
    [70]
    Ekman P, Friesen WV. Pictures of Facial Affect. Consulting Psychologists Press: Palo Alto, 1975.
    [71]
    Coulson M. Attributing emotion to static body postures: recognition accuracy, confusions, and viewpoint dependence. Journal of Nonverbal Behavior 2004; Volume 28 Issue 2: pp.117-139.
    [72]
    Calvert TW, Chapman J, Patla A. Aspects of the kinematic simulation of human movement. IEEE Computer Graphics and Applications 1982; Volume 2 Issue 9: pp.41-50.
    [73]
    Kovar L, Schreiner J, Gleicher M. Footskate cleanup for motion capture editing. In Proceedings of the 2002 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, San Antonio, 2002; pp.97-104.
    [74]
    Yin RK. Looking at upside-down faces. Journal of Experimental Psychology 1969; Volume 81 Issue 1: pp.141-145.
    [75]
    Bartlett JC, Searcy J. Inversion and configuration of faces. Cognitive Psychology 1993; Volume 25 Issue 3: pp.281-316.
    [76]
    McKelvie SJ. Emotional expression in upside-down faces: evidence for configurational and componential processing. British Journal of Social Psychology 1995; Volume 34 Issue 3: pp.325-334.
    [77]
    Cutting JE. A program to generate synthetic walkers as dynamic point-light displays. Behavior Research Methods 1978; Volume 10 Issue 1: pp.91-94.
    [78]
    Cutting JE. Generation of synthetic male and female walkers through manipulation of a biomechanical invariant. Perception 1978; Volume 7 Issue 4: pp.393-405.
    [79]
    Birdwhistell RL. Kinesics and Context: Essays on Body Motion Communication. University of Pennsylvania Press: Philadelphia, 1970.
    [80]
    Cohn JF. Foundations of human computing: facial expression and emotion. In Proceedings of the 8th International Conference on Multimodal Interfaces, Banff, 2006; pp.233-238.
    [81]
    Pantic M, Pentland A, Nijholt A, Huang T. Human computing and machine understanding of human behavior: a survey. In Huang T, Nijholt A, Pantic M, Pentland A eds. Artifical Intelligence for Human Computing. Springer, 2007; pp.47-71.
    [82]
    Sánchez D, Chamorro-Martınez J, Vila MA. Modelling subjectivity in visual perception of orientation for image retrieval. Information Processing & Management 2003; Volume 39 Issue 2: pp.251-266.
    [83]
    Eisenhauer J. Beyond bombardment: subjectivity, visual culture, and art education. Studies in Art Education 2006; Volume 47 Issue 2: pp.155-169.
    [84]
    Arya A, DiPaola S. Multi-space behavioural model for face-based affective social agents. EURASIP Journal on Image and Video Processing, Special Issue on Facial Image Processing 2007; Volume 2007: 048757.
    [85]
    Ekman P. Facial expression and emotion. American Psychologist 1993; Volume 48 Issue 4: pp.384.

    Cited By

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    • (2021)Perceived Naturalness of Interpolation Methods for Character Upper Body AnimationAdvances in Visual Computing10.1007/978-3-030-90439-5_9(103-115)Online publication date: 4-Oct-2021
    • (2016)Human motion classification using 2D stick-model matching regression coefficientsApplied Mathematics and Computation10.1016/j.amc.2016.02.032283:C(70-89)Online publication date: 20-Jun-2016

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        cover image Computer Animation and Virtual Worlds
        Computer Animation and Virtual Worlds  Volume 27, Issue 1
        January 2016
        85 pages

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        John Wiley and Sons Ltd.

        United Kingdom

        Publication History

        Published: 01 January 2016

        Author Tags

        1. animation
        2. body
        3. face
        4. motion
        5. perception
        6. perceptual validity

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        • (2021)Perceived Naturalness of Interpolation Methods for Character Upper Body AnimationAdvances in Visual Computing10.1007/978-3-030-90439-5_9(103-115)Online publication date: 4-Oct-2021
        • (2016)Human motion classification using 2D stick-model matching regression coefficientsApplied Mathematics and Computation10.1016/j.amc.2016.02.032283:C(70-89)Online publication date: 20-Jun-2016

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