Based upon motion capture,a semi-automatic technique for fast facial animation was implemented. While capturing the facial expressions from a performer,a camera was used to record her /his front face as a texture map....Based upon motion capture,a semi-automatic technique for fast facial animation was implemented. While capturing the facial expressions from a performer,a camera was used to record her /his front face as a texture map. The radial basis function( RBF) technique was utilized to deform a generic facial model and the texture was remapped to generate a personalized face.Partitioning the personalized face into three regions and using the captured facial expression data,the RBF and Laplacian operator,and mean-value coordinates were implemented to deform each region respectively. With shape blending,the three regions were combined together to construct the final face model. Our results show that the technique is efficient in generating realistic facial animation.展开更多
It is difficult to extend image-based relief generation to high-relief generation,as the images contain insufficient height information.To generate reliefs from three-dimensional(3D)models,it is necessary to extract t...It is difficult to extend image-based relief generation to high-relief generation,as the images contain insufficient height information.To generate reliefs from three-dimensional(3D)models,it is necessary to extract the height fields from the model,but this can only generate bas-reliefs.To overcome this problem,an efficient method is proposed to generate bas-reliefs and high-reliefs directly from 3D meshes.To produce relief features that are visually appropriate,the 3D meshes are first scaled.3D unsharp masking is used to enhance the visual features in the 3D mesh,and average smoothing and Laplacian smoothing are implemented to achieve better smoothing results.A nonlinear variable scaling scheme is then employed to generate the final bas-reliefs and high-reliefs.Using the proposed method,relief models can be generated from arbitrary viewing positions with different gestures and combinations of multiple 3D models.The generated relief models can be printed by 3D printers.The proposed method provides a means of generating both high-reliefs and bas-reliefs in an efficient and effective way under the appropriate scaling factors.展开更多
Physics-based fluid simulation has played an increasingly important role in the computer graphics community.Recent methods in this area have greatly improved the generation of complex visual effects and its computatio...Physics-based fluid simulation has played an increasingly important role in the computer graphics community.Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency.Novel techniques have emerged to deal with complex boundaries,multiphase fluids,gas-liquid interfaces,and fine details.The parallel use of machine learning,image processing,and fluid control technologies has brought many interesting and novel research perspectives.In this survey,we provide an introduction to theoretical concepts underpinning physics-based fuid simulation and their practical implementation,with the aim for it to serve as a guide for both newcomers and seasoned researchers to explore the field of physics-based fuid simulation,with a focus on developments in the last decade.Driven by the distribution of recent publications in the field,we structure our survey to cover physical background;discretization approaches;computational methods that address scalability;fuid interactions with other materials and interfaces;and methods for expressive aspects of surface detail and control.From a practical perspective,we give an overview of existing implementations available for the above methods.展开更多
基金Youth Foundation of Higher Education Scientific Research of Hebei Province,China(No.2010228)Foundation for Returned Overseas Scholars of Hebei Province,China(No.C2013003015)
文摘Based upon motion capture,a semi-automatic technique for fast facial animation was implemented. While capturing the facial expressions from a performer,a camera was used to record her /his front face as a texture map. The radial basis function( RBF) technique was utilized to deform a generic facial model and the texture was remapped to generate a personalized face.Partitioning the personalized face into three regions and using the captured facial expression data,the RBF and Laplacian operator,and mean-value coordinates were implemented to deform each region respectively. With shape blending,the three regions were combined together to construct the final face model. Our results show that the technique is efficient in generating realistic facial animation.
基金Supported by National Natural Science Foundation of China(Grant Nos.61402374,41301283)National Hi-tech Research and Development Program of China(863 Program,Grant No.2013AA10230402)China Postdoctoral Science Foundation
文摘It is difficult to extend image-based relief generation to high-relief generation,as the images contain insufficient height information.To generate reliefs from three-dimensional(3D)models,it is necessary to extract the height fields from the model,but this can only generate bas-reliefs.To overcome this problem,an efficient method is proposed to generate bas-reliefs and high-reliefs directly from 3D meshes.To produce relief features that are visually appropriate,the 3D meshes are first scaled.3D unsharp masking is used to enhance the visual features in the 3D mesh,and average smoothing and Laplacian smoothing are implemented to achieve better smoothing results.A nonlinear variable scaling scheme is then employed to generate the final bas-reliefs and high-reliefs.Using the proposed method,relief models can be generated from arbitrary viewing positions with different gestures and combinations of multiple 3D models.The generated relief models can be printed by 3D printers.The proposed method provides a means of generating both high-reliefs and bas-reliefs in an efficient and effective way under the appropriate scaling factors.
基金funded by National Key R&D Program of China(No.2022ZD0118001)National Natural Science Foundation of China(Nos.62376025 and 62332017)+1 种基金Horizon 2020-Marie SklodowskaCurie Action-Individual Fellowships(No.895941)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515030177)。
文摘Physics-based fluid simulation has played an increasingly important role in the computer graphics community.Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency.Novel techniques have emerged to deal with complex boundaries,multiphase fluids,gas-liquid interfaces,and fine details.The parallel use of machine learning,image processing,and fluid control technologies has brought many interesting and novel research perspectives.In this survey,we provide an introduction to theoretical concepts underpinning physics-based fuid simulation and their practical implementation,with the aim for it to serve as a guide for both newcomers and seasoned researchers to explore the field of physics-based fuid simulation,with a focus on developments in the last decade.Driven by the distribution of recent publications in the field,we structure our survey to cover physical background;discretization approaches;computational methods that address scalability;fuid interactions with other materials and interfaces;and methods for expressive aspects of surface detail and control.From a practical perspective,we give an overview of existing implementations available for the above methods.
