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An experimental facial synthesis system using graph cut and gradient domain fusion

1st International Conference on Technologies for E-Learning and Digital Entertainment (Edutainment 2006)

作者： Jiang, Xiaohong Dai, Fen Jiang, Hanqing College of Computer Science and Technology Zhejiang University China State Key Lab. of CAD and CG Zhejiang University China

ISBN: (纸本)3540334238

Based on the newly appeared image editing and image processing techniques, a novel interactive, computer-assisted system is proposed for facial synthesis. This paper presents the architecture of this facial synthesis system and gives a detailed description of the four key modules. The techniques used in these modules are also particularized. First, graph cut algorithm is used to automatically select region. Then gradient domain fusion is used to get better result. Finally, k-means method is used to improve efficiency. The experimental results show that our experimental facial synthesis system can produce visually good synthesized face images.

关键词： K-means clustering objective stroke background stroke automatic region selection energy minimization graph cut gradient domain fusion

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Laplacian lines for real-time shape illustration 09

Laplacian lines for real-time shape illustration

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2009 ACM SIGGRAPH Symposium on Interactive 3D graphics and Games, I3D 2009

作者： Zhang, Long He, Ying Xie, Xuexiang Chen, Wei Institute of Graphics and Image Hangzhou Dianzi University China School of Computer Engineering Nanyang Technological University Singapore State Key Lab. of CAD and CG Zhejiang University China

ISBN: (纸本)9781605584294

This paper presents a novel object-space line drawing algorithm that can depict shape with view dependent feature lines in real-time. Strongly inspired by the Laplacian-of-Gaussian (LoG) edge detector in image processing, we define Laplacian Lines as the zero-crossing points of the Laplacian of the surface illumination. Compared to other view dependent features, Laplacian lines are computationally efficient because most expensive computations can be pre-processed. Thus, Laplacian lines are very promising for interactively illustrating large-scale models. Copyright © 2009 by the Association for Computing Machinery, Inc.

关键词： Image processing

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A new method of interactive marker-driven free form mesh deformation

A new method of interactive marker-driven free form mesh def...

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Geometric Modeling and Imaging New Trends, 2006

作者： Difei, Lu Ying, Zhang Xiuzi, Ye College of Computer Science State Key Lab. of CAD and CG Zhejiang University Hangzhou 310027 China

ISBN: (纸本)0769526047

In this paper, we propose a new scheme for marker-driven free form global mesh deformation without manually establishing a skeleton orfreeform deformation domain beforehand. It allows a user to deform a given mesh interactively and intuitively. Firstly markers are placed at existing mesh vertices. Then user moves markers as constrained handles in a free form style. Next a global shape deformation is obtained by reconstructing the shape corresponding to the translated markers. Finally the system smooth the deformed mesh to get desired result. Our approach successfully conveys a sense of rigidity of the mesh, which is difficult in space-warp approaches. We demonstrate that our system can be used to intuitively deform a complex mesh with very little effort. We also show that our approach of the deformation provides a natural way to interpolate between key frames, allowing production of simple key framed animations. © 2006 IEEE.

关键词： Interactive computer graphics

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Semi-supervised regression via parallel field regularization

Semi-supervised regression via parallel field regularization

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25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

作者： Lin, Binbin Zhang, Chiyuan He, Xiaofei State Key Lab. of CAD and CG College of Computer Science Zhejiang University Hangzhou 310058 China

ISBN: (纸本)9781618395993

This paper studies the problem of semi-supervised learning from the vector field perspective. Many of the existing work use the graph Laplacian to ensure the smoothness of the prediction function on the data manifold. However, beyond smoothness, it is suggested by recent theoretical work that we should ensure second order smoothness for achieving faster rates of convergence for semisupervised regression problems. To achieve this goal, we show that the second order smoothness measures the linearity of the function, and the gradient field of a linear function has to be a parallel vector field. Consequently, we propose to find a function which minimizes the empirical error, and simultaneously requires its gradient field to be as parallel as possible. We give a continuous objective function on the manifold and discuss how to discretize it by using random points. The discretized optimization problem turns out to be a sparse linear system which can be solved very efficiently. The experimental results have demonstrated the effectiveness of our proposed approach.

关键词： Supervised learning

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A novel mesh quad-segmentation algorithm

A novel mesh quad-segmentation algorithm

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2nd International Multi-Symposiums on computer and Computational Sciences 2007, IMSCCS'07

作者： Qian, Jiang Ye, Xiuzi Fang, Cuihao Zhang, Sanyuan Zhang, Yin State Key Lab. of CAD and CG College of Computer Science Zhejiang University Hangzhou 310027 China

ISBN: (纸本)0769530397

Great efforts have been devoted to seamless quadrangulation of triangular mesh for its practical application in constructing surface patches. This type of algorithm sets up a parameterization on the triangular mesh and a re-meshing is carried out then to the quadrangulate mesh. The paper proposes a novel algorithm to quadsegment the triangular mesh. Our algorithm combines the techniques of parameterization with re-triangulation and clustering which segment the triangular mesh instead of remeshing based on the parameterization results. Thus the algorithm avoids the process of solving linear systems of equations and local parameterization for adjusments. Also, the robustness of the algorithms is enhanced because ofthe possible ill-conditioned status of linear systems of equations arises in the previous algorithms. ©2007 IEEE.

关键词： Triangulation

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Interactive generation of falling motions

Interactive generation of falling motions

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作者： Tang, Bing Pan, Zhigeng Zheng, Le Zhang, Mingmin State Key Lab. of CAD and CG Zhejiang University Hangzhou 310027 China Zhejiang University Hangzhou City China State Key Lab. of CAD and CG Zhejiang University Computer and Engineering Department Zhejiang University

Interactive generation of falling motions for virtual character with realistic responses to unexpected push, hit or collision with the environment is interesting work to many applications, such as computer games, film production, and virtual training environments. In this paper, we propose a new method to simulate protective behaviors in response to the ways a human may fall to the ground as well as incorporate the reactive motions into motion capture animation. It is based on simulated trajectory prediction and biomechanics inspired adjustment. According to the external perturbations, our system predicts a motion trajectory and uses it to select a desired transition-to sequence. At the same time, physically generated falling motions will fill in the gap between the two-motion capture sequences before and after the transition. Utilizing a parallel simulation, our method is able to predict a character's motion trajectory real-time under dynamics, which ensures that the character moves towards the target sequence and makes the character's behavior more life-like. Our controller is designed to generate physically plausible motion following an upcoming motion with adjustment from biomechanics rules, which is key to avoid an unconscious look for a character during the transition. Based on a relatively small motion database, our system is effective in generating various interactive falling behaviors. Copyright © 2006 John Wiley & Sons, Ltd.

关键词： Interactive computer systems

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Image analysis with nonlinear adaptive dimension reduction 11

Image analysis with nonlinear adaptive dimension reduction

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3rd International Conference on Internet Multimedia Computing and Service, ICIMCS 2011

作者： Chen, Xinlei Qu, Xinquan Li, Zijian State Key Lab. of CAD and CG College of Computer Science Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9781450309189

In multimedia applications, dimension reduction is essential to the effectiveness and efficiency of an algorithm due to the curse of dimensionality. Recently, its adaptive variants have received considerable attention in unsupervised learning since a single pass without lab.l information often fails to guarantee an optimal representation, especially when the parameters are not set properly. However, most such methods are basically linear, therefore unable to consider the geometrical structure of the data space. In this paper, we propose a novel algorithm called Nonlinear Adaptive Dimension Reduction (NADR), which adaptively learns the optimal low-dimensional coordinates that preserve the intrinsic geometric structure of the original data. Moreover, the incorporation of K-means enables NADR to be a powerful alternative for cluster analysis. Experiments on benchmark image data sets illustrate that NADR outperforms the state-of-the-art adaptive dimension reduction methods. © 2011 ACM.

关键词： Unsupervised learning

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Level of detail and multi-resolution modeling for virtual prototyping

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International Journal of Image and graphics 2001年第2期1卷 329-343页

作者： Pan, Zhigeng Zhang, Mingmin Zhou, K.U.N. Cheng, Chiyi Shi, Jiaoying State Key Lab of CAD and CG Zhejiang University Hangzhou310027 China Key Lab. of VR and Networked Multimedia Hangzhou Institute of Electronic Engineering Hangzhou China Department of Computer Zhejiang University Hangzhou310027 China

Reconciling scene realism with interactivity has emerged as one of the most important areas in making virtual reality feasible for large-scale cad data sets consisting of several millions of primitives. Level of detail (LoD) and multi-resolution modeling techniques in virtual reality can be used to speed up the process of virtual design and virtual prototyping. In this paper, we present an automatic LoD generation and rendering algorithm, which is suitable for cad models and propose a new multi-resolution representation scheme called MRM (multi-resolution model), which can support efficient extraction of fixed resolution and variable resolution for multiple objects in the same scene. MRM scheme supports unified selective simplifications and selective refinements over the mesh. Furthermore, LoD and multi-resolution models may be used to support real-time geometric transmission in collab.rative virtual design and prototyping. © 2001 World Scientific Publishing Company.

关键词： Virtual prototyping

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Gaussian Mixture Model with local consistency

Gaussian Mixture Model with local consistency

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作者： Liu, Jialu Cai, Deng He, Xiaofei State Key Lab. of CAD and CG College of Computer Science Zhejiang University China

ISBN: (纸本)9781577354642

Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster obeys Gaussian distribution and the task of clustering is to group observations into different components through estimating each cluster's own parameters. The Expectation-Maximization algorithm is always involved in such estimation problem. However, many previous studies have shown naturally occurring data may reside on or close to an underlying submanifold. In this paper, we consider the case where the probability distribution is supported on a sub-manifold of the ambient space. We take into account the smoothness of the conditional probability distribution along the geodesies of data manifold. That is, if two observations are "close" in intrinsic geometry, their distributions over different Gaussian components are similar. Simply speaking, we introduce a novel method based on manifold structure for data clustering, called Locally Consistent Gaussian Mixture Model (LCGMM). Specifically, we construct a nearest neighbor graph and adopt Kullback-Leibler Divergence as the "distance" measurement to regularize the objective function of GMM. Experiments on several data sets demonstrate the effectiveness of such regularization. Copyright © 2010, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Gaussian distribution

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Multi-resolution hierarchical point cloud segmenting

Multi-resolution hierarchical point cloud segmenting

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2nd International Multi-Symposiums on computer and Computational Sciences 2007, IMSCCS'07

作者： Wanhong, Zou Xiuzi, Ye College of Computer Science and Technology State Key Lab. of CAD/CG Zhejiang University Hangzhou 310027 China

ISBN: (纸本)0769530397

Segmentation is a fundamental issue in point cloud geometry process. It has encountered two difficulties. From one side, those efficient mesh based segmentation algorithms could not be applied to cloud, as point cloud doesn't have topology information;the other difficulty is that the existing point cloud segmentation algorithm could not process large scale models directly. In this paper, we introduce a technique to directly segment a large-scale point cloud into distinct parts. We first construct a simplified approximate geometry model for point cloud based on point cloud's boundary volume hierarchy. This new geometry model is a simplified point model enhanced with topology information. We implement a segmentation algorithm to decompose the simplified model into several parts, and then a new simplified model with better approximation is constructed for each of the segmented parts. Next hierarchy segmentation can be done on these simplified models with better resolution. Our experiment results show that the algorithm is robust and efficient. © 2007 IEEE.

关键词： Topology

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