TY - GEN
T1 - Shape manipulation on GPU
AU - Chen, Hongqian
AU - Huang, Tianyu
AU - Li, Fengxia
AU - Zhan, Shouyi
PY - 2008
Y1 - 2008
N2 - This paper proposes a novel hardware-accelerating deformation algorithm based on curve-skeleton model for 2D shape manipulation. The deformation algorithm can achieve real-time interactive shape manipulation without any pre-computing step. The deforming regions of shapes are demarcated with a simple skeleton frame and are simulated by a curve-skeleton model consisting of triangle-strips. The algorithm obtains two properties that smooth flexion and preservation of area. Smooth flexion is guaranteed due to the continuous derivative of the curve function, and preservation of area is achieved via adjusting the parameters of the control curves. GPGPU technique is adopted to reduce the workload on CPU and to accelerate the rendering. Our algorithm can be used to 2D shape manipulation, character animation and cartoon-like objects deformation. It has been proved feasible and valid by our experiments.
AB - This paper proposes a novel hardware-accelerating deformation algorithm based on curve-skeleton model for 2D shape manipulation. The deformation algorithm can achieve real-time interactive shape manipulation without any pre-computing step. The deforming regions of shapes are demarcated with a simple skeleton frame and are simulated by a curve-skeleton model consisting of triangle-strips. The algorithm obtains two properties that smooth flexion and preservation of area. Smooth flexion is guaranteed due to the continuous derivative of the curve function, and preservation of area is achieved via adjusting the parameters of the control curves. GPGPU technique is adopted to reduce the workload on CPU and to accelerate the rendering. Our algorithm can be used to 2D shape manipulation, character animation and cartoon-like objects deformation. It has been proved feasible and valid by our experiments.
UR - http://www.scopus.com/inward/record.url?scp=52149090322&partnerID=8YFLogxK
U2 - 10.1109/CISP.2008.443
DO - 10.1109/CISP.2008.443
M3 - Conference contribution
AN - SCOPUS:52149090322
SN - 9780769531199
T3 - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
SP - 518
EP - 522
BT - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
T2 - 1st International Congress on Image and Signal Processing, CISP 2008
Y2 - 27 May 2008 through 30 May 2008
ER -