TY - CPAPER
KW - Computer Vision
KW - Hidden Markov models
KW - Hidden Markov models
KW - Interactive exploration
KW - Motion capture
KW - Motion Style
KW - Motion capture
KW - Motion space
KW - Motion styles
KW - Proof of concept
KW - Real-time synthesis
KW - Realtime Synthesis
KW - Statistical modelling
KW - Virtual character
AU - Joelle Tilmanne
AU - Nicolas y
AU - Maria Astrinaki
AU - Thierry Ravet
AB - We present a first implementation of a framework for the exploration of stylistic variations in intangible heritage, recorded through motion capture techniques. Our approach is based on a statistical modelling of the phenomenon, which is then presented to the user through a reactive stylistic synthesis, visualised in real-time on a virtual character. This approach enables an interactive exploration of the stylistic space. In this paper, a first implementation of the framework is presented with a proof-of-concept application enabling the intuitive and interactive stylistic exploration of an expressive gait space.
C2 - VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.
DO - 10.5220/0004876008030809
N1 - Journal Abbreviation: VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.
N2 - We present a first implementation of a framework for the exploration of stylistic variations in intangible heritage, recorded through motion capture techniques. Our approach is based on a statistical modelling of the phenomenon, which is then presented to the user through a reactive stylistic synthesis, visualised in real-time on a virtual character. This approach enables an interactive exploration of the stylistic space. In this paper, a first implementation of the framework is presented with a proof-of-concept application enabling the intuitive and interactive stylistic exploration of an expressive gait space.
PB - SciTePress
SN - 9789897580048 (ISBN)
SP - 803
EP - 809
TI - Exploration of a Stylistic Motion Space Through Realtime Synthesis
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906919659&doi=10.5220%2f0004876008030809&partnerID=40&md5=1bbcf8b1cc0539460d089b107c24af1f
VL - 2
ER -