Computer animation of knowledge-based human grasping
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Perception of Human Motion With Different Geometric Models
IEEE Transactions on Visualization and Computer Graphics
Model-Based Analysis of Hand Posture
IEEE Computer Graphics and Applications
Construction and animation of anatomically based human hand models
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Handrix: animating the human hand
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Performance animation from low-dimensional control signals
ACM SIGGRAPH 2005 Papers
Physically based grasping control from example
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Helping hand: an anatomically accurate inverse dynamics solution for unconstrained hand motion
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Automatic splicing for hand and body animations
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Clone attack! Perception of crowd variety
ACM SIGGRAPH 2008 papers
Musculotendon simulation for hand animation
ACM SIGGRAPH 2008 papers
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Dextrous manipulation from a grasping pose
ACM SIGGRAPH 2009 papers
Real-time hand-tracking with a color glove
ACM SIGGRAPH 2009 papers
Seeing is believing: body motion dominates in multisensory conversations
ACM SIGGRAPH 2010 papers
The perception of finger motions
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
Adding hand motion to the motion capture based character animation
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Data-driven finger motion synthesis for gesturing characters
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Combining marker-based mocap and RGB-D camera for acquiring high-fidelity hand motion data
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Evaluating the plausibility of edited throwing animations
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Combining marker-based mocap and RGB-D camera for acquiring high-fidelity hand motion data
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Evaluating the plausibility of edited throwing animations
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Video-based hand manipulation capture through composite motion control
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Subtle animation details such as finger or facial movements help to bring virtual characters to life and increase their appeal. However, it is not always possible to capture finger animations simultaneously with full-body motion, due to limitations of the setup or tight production schedules. Therefore, hand motions are often either omitted, manually created by animators, or captured during a separate session and spliced with full body animation. In this paper, we investigate the perceived fidelity of hand animations where all the degrees of freedom of the hands are computed from reduced marker sets. In a set of perceptual experiments, we found that finger motions reconstructed with inverse kinematics from a reduced marker set of eight markers per hand are perceived to be very similar to the corresponding motions reconstructed using a full set of twenty markers. We demonstrate how using this reduced set of eight large markers enabled us to capture the finger and full-body motions of two actors performing a range of relatively unconstrained actions using a 13-camera motion capture system. This serves to simplify the capture process and to significantly reduce the time for cleanup, while preserving the natural biological movements of the hands relative to the actions performed.