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Content retargeting using parameter-parallel facial layers

Published: 05 August 2011 Publication History

Abstract

Facial motion retargeting approaches often transfer expressions by establishing correspondences between shared units of motion, such as action units, or spatial correspondences of landmarks between the source actor and target character faces. When the actor and character are structurally dissimilar, shared units of motion or spatial landmarks may not exist, and subtle styles of performance may differ. We present a method to deconstruct the content of an actor's facial expression into three parameter-parallel layers using a composition function, transfer the content to equivalent parameter-parallel layers for the character, and reconstruct the character's expression using the same composition function. Our algorithm uses the same parameter-parallel layered model of facial expression for both the actor and character, separating the content of facial expressions into emotion, speech, and eye-blink layers. Facial motion in each layer is embedded in simplicial bases, each of which encodes semantically significant configurations of the face. We show the transfer of facial motion capture and video-based tracking of the eyes and mouth of an actor to a number of faces with dissimilar facial structure and expressive disposition.

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Cited By

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  • (2024)A review of motion retargeting techniques for 3D character facial animationComputers & Graphics10.1016/j.cag.2024.104037123(104037)Online publication date: Oct-2024
  • (2022)Compact Facial Landmark Layouts for Performance CaptureComputer Graphics Forum10.1111/cgf.1446341:2(121-133)Online publication date: 24-May-2022
  • (2021)Theories of Conversation for Conversational IRACM Transactions on Information Systems10.1145/343986939:4(1-23)Online publication date: 16-Aug-2021
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    cover image ACM Conferences
    SCA '11: Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
    August 2011
    297 pages
    ISBN:9781450309233
    DOI:10.1145/2019406
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 05 August 2011

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    SCA '11: The ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2011
    August 5 - 7, 2011
    British Columbia, Vancouver, Canada

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    Cited By

    View all
    • (2024)A review of motion retargeting techniques for 3D character facial animationComputers & Graphics10.1016/j.cag.2024.104037123(104037)Online publication date: Oct-2024
    • (2022)Compact Facial Landmark Layouts for Performance CaptureComputer Graphics Forum10.1111/cgf.1446341:2(121-133)Online publication date: 24-May-2022
    • (2021)Theories of Conversation for Conversational IRACM Transactions on Information Systems10.1145/343986939:4(1-23)Online publication date: 16-Aug-2021
    • (2021)“Warm Bodies”: A Post-Processing Technique for Animating Dynamic Blood Flow on Photos and AvatarsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445719(1-9)Online publication date: 6-May-2021
    • (2017)Kernel projection of latent structures regression for facial animation retargetingProceedings of the 13th Workshop on Virtual Reality Interactions and Physical Simulations10.2312/vriphys.20171084(59-65)Online publication date: 23-Apr-2017
    • (2017)Facial retargeting with automatic range of motion alignmentACM Transactions on Graphics10.1145/3072959.307367436:4(1-12)Online publication date: 20-Jul-2017
    • (2017)Deep Feature Interpolation for Image Content Changes2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR.2017.645(6090-6099)Online publication date: Jul-2017
    • (2016)BlendForcesProceedings of the 37th Annual Conference of the European Association for Computer Graphics10.5555/3058909.3058955(341-352)Online publication date: 9-May-2016
    • (2016)BlendForces: A Dynamic Framework for Facial AnimationComputer Graphics Forum10.1111/cgf.1283635:2(341-352)Online publication date: 27-May-2016
    • (2016)Real-time facial expression transfer with single video cameraComputer Animation and Virtual Worlds10.1002/cav.169727:3-4(301-310)Online publication date: 1-May-2016
    • Show More Cited By

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