Dr. Ligang LIU

Associate Professor

Affiliations:
CAGD&CG Group
State Key Lab of CAD&CG
Department of Mathematics
College of Science
Zhejiang University

Address: Department of Mathematics, Zhejiang University, Hangzhou 310027, P.R.China
                310027 
杭州市浙江大学玉泉校区数学系
Phone: (+86-571) 8795-3668
Fax:  (+86-571) 8795-3668
Email: ligangliu@zju.edu.cn
Web: http://www.math.zju.edu.cn/ligangliu

Hello, welcome to visit my homepage! I am Ligang Liu from Department of Mathematics, Zhejiang University, China. I got a PhD of Applied Mathematics from Zhejiang University in 2001. Before I moved to here, I worked at Internet Graphics Group, Microsoft Research Asia during 2001 and 2004. Now I am an associate professor of Institute of Computer Graphics and Image Processing, Zhejiang University. My research interests include digital geometry processing, geometric modeling, and image processing etc. You are welcome to read my full CV (html, pdf).

Recruiting excellent PhD students: For those who would like to apply for a graduate position in my group, please read Graduate Admission and Recruiting (In Chinese). If you are interested in research on digital geometry processing for computer graphics, you are welcome to contact me via phone or email.


Academic Background     Research Interests     Selected Publications    

Patents      Professional Service     Teaching     Resources     Personal Stuff


Academic Background


Research Interests


Selected Publications

List of All Publications      Acrobat PDF viewer


We present a novel approach to parameterize a mesh with disk topology to the plane in a shape-preserving manner. Our key contribution is a local/global algorithm, which combines a local mapping of each 3D triangle to the plane, using transformations taken from a restricted set, with a global "stitch" operation of all triangles, involving a sparse linear system. The local transformations can be taken from a variety of families, e.g. similarities or rotations, generating different types of parameterizations. In the first case, the parameterization tries to force each 2D triangle to be an as-similar-as-possible version of its 3D counterpart. This is shown to yield results identical to those of the LSCM algorithm. In the second case, the parameterization tries to force each 2D triangle to be an as-rigid-as-possible version of its 3D counterpart. This approach preserves shape as much as possible. It is simple, effective, and fast, due to pre-factoring of the linear system involved in the global phase. Experimental results show that our approach provides almost isometric parameterizations and obtains more shape-preserving results than other state-of-the-art approaches.

We present also a more general "hybrid" parameterization model which provides a continuous spectrum of possibilities, controlled by a single parameter. The two cases described above lie at the two ends of the spectrum. We generalize our local/global algorithm to compute these parameterizations. The local phase may also be accelerated by parallelizing the independent computations per triangle.

Ligang Liu, Lei Zhang, Yin Xu, Craig Gotsman, Steven J. Gortler. A Local/Global Approach to Mesh Parameterization. Proceedings of Eurographics Symposium on Geometry Processing 2008 (SGP 2008), Copenhagen, July 2-4, 2008. Computer Graphics Forum, 2008, 27(5): 1495-1504. [PDF, 5.2M] [Talk, 9.8M]


This paper presents a global optimization operator for arbitrary meshes. The global optimization operator is composed of two main terms, one part is the global Laplacian operator of the mesh which keeps the fairness and another is the constraint condition which reserves the fidelity to the mesh. The global optimization operator is formulized as a quadratic optimization problem, which is easily solved by solving a sparse linear system. Our global mesh optimization approach can be effectively used in at least three applications: smoothing the noisy mesh, improving the simplified mesh, and geometric modeling with subdivision-connectivity. Many experimental results are presented to show the applicability and flexibility of the approach.

Ligang Liu, Chiew-Lan Tai, Zhongping Ji, Guojin Wang. Non-Iterative Approach for Global Mesh Optimization. Computer-Aided Design, 2007, 39(9), 772-782. [PDF, 1.9M]


This paper presents a novel parameterization method for a nonclosed triangular mesh. For every flattened 1-ring neighbors, we choose a local coordinate frame, and the local geometry structure is represented as local parametric coordinates. Then the global optimal parametric coordinates are attained by aligning all the local parametric planes while preserving the local structure as much as possible. The boundary conditions are not necessary in our method, thus no high distortion appears around the boundary, and distortion is uniformly distributed over parametric domain. In addition, our method can operate directly on mesh surface which has holes without any preprocessing of surface partition. Furthermore, linear constraints are allowed in the parameterization in a least squares sense.

Zhonggui Chen, Ligang Liu, Zhenyue Zhang, Guojin Wang. Surface Parameterization via Aligning Optimal Local Flattening. Proceedings of ACM Symposium on Solid and Physical Modeling (SPM 2007), Beijing, China, pp.291-296, 2007. [PDF, 0.5M] [Talk, 2.7M][Poster, 0.3M]


Recently, animations with deforming objects have been frequently used in various computer graphics applications. Morphing of objects is one of the techniques which realize shape transformation between two or more existing objects. In this paper, we present a novel morphing approach for 3D triangular meshes with the same topology. The basic idea of our method is to interpolate the mean curvature flow of the input meshes as the curvature flow Laplacian operator encodes the intrinsic local information of the mesh. The in-between meshes are recovered from the interpolated mean curvature flow in the dual mesh domain due to the simplicity of the neighborhood structure of dual mesh vertices. Our approach can generate visual pleasing and physical plausible morphing sequences and avoid the shrinkage and kinks appeared in the linear interpolation method. Experimental results are presented to show the applicability and flexibility of our approach.

Jianwei Hu, Ligang Liu, Guozhao Wang. Dual Laplacian Morphing for Triangular Meshes. Computer Animation and Virtual Worlds, 2007, 18: 271-277.  (Proceedings of CASA 2007) [PDF, 1.5M] [Video, 1.5M] [Talk, 3.4M]

 


We present a novel least scaling distortion metric to measure the deformation distortion for tetrahedral meshes. The stretch-like metric is a combination of Jacobian matrix norm and tetrahedron volume and has the properties of good shape preservation and rotation invariance. Based on our metric, we propose a uniform non-linear optimization solution to a variety of tetrahedral mesh manipulation applications including shape deformation, interpolation, deformation transfer, and deformation learning. Our approach can produce volume preserving and flip free tetrahedral mesh results, which performs much better than the previous tetrahedral manipulation approaches. We also demonstrate an efficient and practical application using free-form deformation technique. The object is embedded in a rough control tetrahedral mesh and deformed by editing the tetrahedral mesh with various constraints. Each vertex of the object can be obtained by its barycentric coordinates according to its embedding tetrahedron of the control tetrahedral mesh.

Wenhao Song, Ligang Liu. Stretch-based Tetrahedral Mesh Manipulation. ACM International Conference Proceedings of Graphics Interface 2007, Montreal, Canada, pp.319-325, 2007.  [PDF, 1.4M] [Talk, 4.7M]

 


We present Easy Mesh Cutting, an intuitive and easy-to-use mesh cutout tool. Users can cut meaningful components from meshes by simply drawing freehand sketches on the mesh. Our system provides instant visual feedback to obtain the cutting results based on an improved region growing algorithm using a feature sensitive metric. The cutting boundary can be automatically optimized or easily edited by users. Extensive experimentation shows that our approach produces good cutting results while requiring little skill or effort from the user and provides a good user experience. Based on the easy mesh cutting framework, we introduce two applications including sketch-based mesh editing and mesh merging for geometry processing.

Zhongping Ji, Ligang Liu, Zhonggui Chen, Guojin Wang. Easy Mesh Cutting. Proceedings of Eurographics, Vienna, Austria, Sep.,  2006. Computer Graphics Forum, 2006, 25(3): 283-291. [PDF, 4.6M] [Video, 15M] [Talk, 3.7M]

 


Manifold parameterization considers the problem of parameterizing a given triangular mesh onto another mesh surface, which could be particularly plane or sphere surfaces. In this paper we propose a unified framework for manifold parameterization between arbitrary meshes with identical genus. Our approach does this task by directly mapping the connectivity of the source mesh onto the target mesh surface without any intermediate domain and partition of the meshes. The connectivity graph of source mesh is used to approximate the geometry of target mesh using least squares meshes. A subset of user specified vertices are constrained to have the geometry information of the target mesh. The geometry of the mesh vertices is reconstructed while approximating the known geometry of the subset by positioning each vertex approximately at the center of its immediate neighbors. This leads to a sparse linear system which can be effectively solved. Our approach is simple and fast with less user interactions. Many experimental results and applications are presented to show the applicability and flexibility of the approach.

Lei Zhang, Ligang Liu, Zhongping Ji, Guojin Wang. Manifold Parameterization.  Proceedings of 24th Computer Graphics International Conference, June 2006, Hangzhou China. Lecture Notes in Computer Science, 2006, 4035: 160-171. [PDF, 3.9M] [Video, 6M] [Talk, 1.5M]

 


Recently, differential information as local intrinsic feature descriptors has been used for mesh editing. Given certain user input as constraints, a deformed mesh is reconstructed by minimizing the changes in the differential information. Since the differential information is encoded in a global coordinate system, it must somehow be transformed to fit the orientations of details in the deformed surface, otherwise distortion will appear. We observe that visually pleasing deformed meshes should preserve both local parameterization and geometry details. We propose to encode these two types of information in the dual mesh domain due to the simplicity of the neighborhood structure of dual mesh vertices. Both sets of information are nondirectional and nonlinearly dependent on the vertex positions. Thus, we present a novel editing framework that iteratively updates both the primal vertex positions and the dual Laplacian coordinates to progressively reduce distortion in parametrization and geometry. Unlike previous related work, our method can produce visually pleasing deformations with simple user interaction, requiring only the handle positions, not local frames at the handles.

Oscar Kin-Chung Au, Chiew-Lan Tai, Ligang Liu, and Hongbo Fu. Dual Laplacian editing for meshes. IEEE Transactions on Visualization and Computer Graphics, 2006, 12(3): 386-395. [PDF, 1.7M]


This paper presents a novel approach for surface smoothing with feature preservation on arbitrary meshes. Laplacian operator is performed in a global way over the mesh. The surface smoothing is formulated as a quadratic optimization problem, which is easily solved a sparse linear system. The cost function to be optimized penalizes deviations from the global Laplacian operator while maintaining the overall shape of the original mesh. The features of the original mesh can be preserved by adding feature constraints and barycenter constraints in the system. Our approach is simple, non-iterative, fast, and does not cause surface shrinkage and distortion. Many experimental results are presented to show the applicability and flexibility of the approach.

Zhongping Ji, Ligang Liu, and Guojin Wang. A global Laplacian smoothing approach with feature preservation. Proceedings of The 9th International Conference on Computer Aided Design and Computer Graphics, 2005, HongKong, IEEE Computer Society, pp. 269-274, The Best Student Paper Award. (Non-iterative Global Mesh Smoothing with Feature Preservation. International Journal of CAD/CAM, 6(1), 85-93, 2006.) [PDF, 0.7M] [Talk slides, 2M]

 


This paper presents a novel approach for constructing a piecewise triangular cubic polynomial surface with C1 continuity around a common corner vertex. A C1 continuity condition between two cubic triangular patches is first derived using mixed directional derivatives. An approach for constructing a surface with C1 continuity around a corner is then developed. Our approach is easy and fast with the virtue of cubic reproduction, local shape controllability, C2 continuous at the corner vertex. Some experimental results are presented to show the applicability and flexibility of the approach.

Renjiang Zhang, Ligang Liu, Weiyin Ma, and Guojin Wang. Construction of cubic triangular patches with C1 continuity around a corner. Proceedings of The 9th International Conference on Computer Aided Design and Computer Graphics, 2005, HongKong, IEEE Computer Society, pp. 73-78. [PDF, 0.4M] [Talk slides, 0.5M]

 


Recently, differential information as local intrinsic feature descriptors has been used for mesh editing. Given certain user input as constraints, a deformed mesh is reconstructed by minimizing the changes in the differential information. Since the differential information is encoded in the global coordinate system, it must somehow be transformed to fit the orientation of details in the deformed surface, otherwise distortion will appear. We observe that visually desired deformed meshes should preserve both local parameterization and geometry details. To find suitable representations for these two types of information, we exploit certain properties of the curvature flow Laplacian operator. Specifically, we consider the coefficients of Laplacian operator as the parametrization information and the magnitudes of the Laplacian coordinates as the geometry information. Both sets of information are non-directional and non-linearly dependent on the vertex positions. Thus, we propose a new editing framework which iteratively updates both the vertex positions and the Laplacian coordinates to reduce distortion in parametrization and geometry. Our method can produce pleasing deformation results with simple user interaction not possible with previous related work. In addition, since the magnitudes of the Laplacian coordinates approximate the integrated mean curvatures, our framework is useful for modifying mesh geometry via updating the curvature field. We demonstrate this use in spherical parameterization and non-shrinking smoothing.

Oscar Kin-Chung Au, Chiew-Lan Tai,  Hongbo Fu, and Ligang Liu. Mesh editing with curvature flow Laplacian. Proceedings of Eurographics Symposium on Geometry Processing, 2005. [PDF, 2.2M] [Poster, 20M]

 


We present a general approach to morph between 2D shapes with different topologies. All possible topological evolutions are classified into three types by attaching three different topological cells. This formalism is resulted from the Morse theory on the behavior of the 3D surface around a non-degenerate critical point. Also we incorporate degenerate topological evolutions into our framework which produce more attractive morphing effects. The user controls the morph by specifying the types of topological evolutions as well as the feature correspondences between the source and target shapes. Some techniques are also provided to control the vertex path during the morphing process. The amount of user input required to produce a morph is directly proportional to the amount of control the user wishes to impose on the process. The user may allow the system to automatically generate the morph as well. Our approaches are totally geometric based and are easy and fast enough in fully interactive time. Many experimental results show the applicability and flexibility of our approaches.

Ligang Liu, Bo Zhang, Baining Guo, and Heung-Yeung Shum. Polygonal shape blending with topological evolutions. Journal of Computer Science and Technology, 2005, 20(1): 77-89.  [PDF, 0.8M]

 


We present a novel approach for establishing vertex correspondences between two planar shapes. Correspondences are established between the perceptual feature points extracted from both source and target shapes. A similarity metric between two feature points is defined using the intrinsic properties of their local neighborhoods. The optimal correspondence is found by an efficient dynamic programming technique. Our approach treats shape noise by allowing discarding small feature points, which introduces skips in the traversal of the dynamic programming graph. Our method is fast, feature preserving, and invariant to geometric transformations. We demonstrate the superiority of our approach over other approaches by experimental results.

Ligang Liu, Guopu Wang, Bo Zhang, Baining Guo and Heung-Yeung Shum, Perceptually based approach for planar morphing, Proceedings of Pacific Graphics'2004, IEEE Computer Society, Seoul, Korea, Oct., 2004, pp. 111-120. [PDF, 0.6M] [Talk slides, 0.5M] [Video, 6.7M]

 


There exist many computer graphics techniques which could achieve high quality tree generation. However, only a few works focus on realistic modeling of tree bark. Difficulties lie in the complex appearance of the bark surfaces which are largely determined by their mesostructures. Unlike traditional physical based methods, in this paper, we present an appearance-based method to model tree bark surfaces from a single image. We address three main issues here: feature specification, height field assignment and texture correction. For feature specification, we use texton channel analysis to specify a variant of common bark features, including ironbark, vertical and horizontal fractures, tessellation, furrowed cork, and lenticels. For height field assignment, we develop an intuitive and easy-to-use user interface (UI). Here similarity-based texture editing is used for assigning height fields within a texton channel mask. For texture correction, we use the modeled height fields to eliminate the underlying lighting effects in a captured texture. Our modeling system is image-based: it takes as input a bark image and produces as output a textured height field representing a bark sample. We demonstrate that our method is an effective and easy-to-use technique to interactively model a variety of photo realistic bark surfaces.

Xi Wang, Lifeng Wang, Ligang Liu, Shimin Hu and Baining Guo. Interactive modeling of tree bark. Proceedings of Pacific Graphics'2003, IEEE Computer Society, Alberta, Canada, Oct, 2003, pp. 83-90. [PDF, 2.9M] [Talk slides, 4.6M] [Video, 51.3M]

 


The bidirectional texture function (BTF) is a 6D function that can describe textures arising from both spatially-variant surface reflectance and surface mesostructures. In this paper, we present an algorithm for synthesizing the BTF on an arbitrary surface from a sample BTF. A main challenge in surface BTF synthesis is the requirement of a consistent mesostructure on the surface, and to achieve that we must handle the large amount of data in a BTF sample. Our algorithm performs BTF synthesis based on surface textons, which extract essential information from the sample BTF to facilitate the synthesis. We also describe a general search strategy, called the k-coherent search, for fast BTF synthesis using surface textons. A BTF synthesized using our algorithm not only looks similar to the BTF sample in all viewing/lighthing conditions but also exhibits a consistent mesostructure when viewing and lighting directions change. Moreover, the synthesized BTF fits the target surface naturally and seamlessly. We demonstrate the effectiveness of our algorithm with sample BTFs from various sources, including those measured from real-world textures.

Xin Tong, Jingdan Zhang, Ligang Liu, Xi Wang, Baining Guo, and Heung-Yeung Shum. Synthesis of bi-directional texture functions on arbitrary surfaces. Proceedings of SIGGRAPH'2002, ACM Transaction on Graphics, 2002, 21(3): 665-672. [PDF, 2.8M] [Talk slides, 9.3M] [Video, 26.0M]

 


The matrix forms for curves and surfaces were largely promoted in CAD/CAM. In this paper we have presented two matrix representation formulations for arbitrary degree NURBS curves and surfaces explicitly other than recursively. The two approaches are derived from the computation of divided difference and the Marsden identity respectively. The explicit coefficient matrix of B-spline with equally spaced knot and Bézier curves and surfaces are obtained by these formulae. The coefficient formulae and the coefficient matrix formulae developed in this paper express non-uniform B-spline functions of arbitrary degree in explicit polynomial and matrix forms. They are useful for the evaluation and conversion of NURBS curves and surfaces in CAD/CAM systems. They will promote the application of product data-exchange standards in industry.

Ligang Liu and Guojin Wang. Explicit representation for NURBS curves and surfaces. Computer Aided Geometric Design, 2002, 19(6): 409-419. [PDF, 0.1M]

 


The objective of this paper is to provide an efficient and reliable algorithm for representing and evaluating the boundary of the interval Bézier curve. The boundary is represented by a sequence of Bézier curve segments with same degree and line segments in the order they are encountered when marching counter-clockwise along its boundary. The boundary can also be represented as a single B-spline curve having the same degree with the interval Bézier curve. Our algorithm may be easily extended to 3D interval Bézier curves and interval NURBS curves with minor modifications. Some examples illustrate our algorithm.

Hongwei Lin, Ligang Liu, and Guojin Wang. Boundary evaluation for interval Bézier curves. Computer-Aided Design, 2002, 34(9), 637-646. [PDF, 0.3M]

 


Patents and Software Copyrights


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Copyright © 2004-2009 Ligang Liu
Last update: Jun. 12, 2008
ligangliu@zju.edu.cn