A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision-based control of 3D facial animation
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Fast Stereo-Based Head Tracking for Interactive Environments
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
3D Facial Expression Recognition Based on Primitive Surface Feature Distribution
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Exact indexing of dynamic time warping
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Head Pose Estimation in Computer Vision: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic facial expression recognition on a single 3D face by exploring shape deformation
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Local 3D Shape Analysis for Facial Expression Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Realtime performance-based facial animation
ACM SIGGRAPH 2011 papers
Bayesian tangent shape model: Estimating shape and pose parameters via bayesian inference
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Real time head pose estimation from consumer depth cameras
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Real time head pose estimation with random regression forests
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Facial expression recognition using 3D facial feature distances
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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In recent years, depth cameras have become commodity hardware already in many households. That trend allows for an action-driven facial animator system to become commonly available. In this paper, we layout the methods involved in driving high quality CG facial animations by capturing and matching human actions at real-time speeds. We explore two important sub-problems for this issue: (i) head motion tracking and (ii) animation creation for virtual characters. For head motion tracking, we present a 3D template matching framework, achieving real-time performance and yielding results more accurate than current state-of-the-art motion tracking methods. For animation creation, we provide a 3D animation retrieval system that allows artists to easily retrieve and reuse desired animations from an existing database of already rigged facial animations.