System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Art of 3-D Computer Animation and Imaging
Art of 3-D Computer Animation and Imaging
Motion texture: a two-level statistical model for character motion synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Motion capture assisted animation: texturing and synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Motion synthesis from annotations
ACM SIGGRAPH 2003 Papers
Combining Sampling and Autoregression for Motion Synthesis
CGI '04 Proceedings of the Computer Graphics International
IEEE Transactions on Signal Processing
A system for the capture and synthesis of insect motion
Graphical Models
Human animation from 2D correspondence based on motion trend prediction
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Human animation from 2d correspondence based on motion trend prediction
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Biologically---Inspired motion pattern design of multi---legged creatures
EvoMUSART'13 Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
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We present an integrated system that enables the capture and synthesis of 3D motions of small scale dynamic creatures, typically insects and arachnids, in order to drive computer generated models. The system consists of a number of stages, initially, the acquisition of a multi-view calibration scene and synchronised video footage of a subject performing some action is carried out. A user guided labelling process, that can be semi-automated using tracking techniques and a 3D point generating algorithm, then enables a full metric calibration and captures the motions of specific points on the subject. The 3D motions extracted, which often come from a limited number of frames of the original footage, are then extended to generate potentially infinitely long, characteristic motion sequences for multiple similar subjects. Finally a novel path following algorithm is used to find optimal path along with coherent motion for synthetic subjects. The result is a system that, from a potentially small number of original multi-view frames, can generate a whole 'swarm' of novel synthetic subjects all moving in a coherent and natural manner. The proposed system has two major advantages over existing systems, 1) that traditional motion capture techniques cannot in general be used for very small subjects and 2) minimal expense and user input is required to generate, complex, high quality, CG animation.