portrait
Dr. Juan (Jane) Cao (曹娟)
Associate Professor

Affiliations:
School of Mathematical Sciences

Xiamen University

 

Office TEL: +86 (0592) 2580683
Email: Juancao(at)xmu(dot)edu(dot)cn
Address
:
 School of Mathematical Sciences, Xiamen University, Xiamen, 361005, China


 

Short Bio

At present, Dr. Juan (Jane) Cao is an associate professor at School of Mathematical Sciences, Xiamen University. She received her B.S. degree in Information and Computing Science from Department of Mathematics, Fuzhou University, in June 2004. She received her Ph.D. degree in Applied Mathematics from Zhejiang University under supervision of Prof. Guozhao Wang, in June 2009. During Oct. 2007 and Oct. 2008, she was a visiting scholar at Department of Computer Science, The State University of New York at Stony Brook (Stony Brook University), under supervision of Prof. Hong Qin.

(招收研究生) I am looking for intelligent, self-motivated, and dedicated graduate students. If you are interested in my research directions, please feel free to contact me.

Research Interests

Computer aided geometric design, Digital geometry processing for computer graphics

Selected Publications    (Full List)

 
B-spline Surface Fitting with Knot Position Optimization  
Yuhua Zhang, Juan Cao, Zhonggui Chen, Xiaoming Zeng
Computers & Graphics (Proc. SMI), 58:73-83, 2016
Bivariate Splines over Triangular Meshes for Freeform Surface Modeling with Sharp Feature 
Juan Cao, Jianmin Zheng
Computer-Aided Design and Applications, 14(x), 2017, aaa-bbb (Best Paper Award for CAD'16 - Vancouver, CANADA)
Ray–triangular Bézier patch intersection using hybrid clipping algorithm 
Yanhong Liu, Juan Cao*, Zhonggui Chen, Xiaoming Zeng
Frontiers of Information Technology & Electronic Engineering, 2016, to appear
基于容积约束Power 图的图像分片逼近  
刘红伟,曹娟, 陈中贵
中国计算机图形学大会, 2016, 已录用
Adaptive Knot Placement in Non-uniform B-spline Surface Fitting
(非均匀B 样条曲面的自适应节点设置方法)
 
Juan Cao, Yongsheng Ouyang, Zhonggui Chen, Xiaoming Zeng
Journal of Computer-Aided Design & Computer Graphics, 27(1): 60-67, 2015
 
An Improvement on the Upper Bound of the Magnitudes of Derivatives of Rational Triangular Bezier Surfaces  
Yanhong Liu, Xiaoming Zeng, Juan Cao*
Computer Aided Geometric Design, 31(5), 265-276, 2014
[Website]  [Paper 10M]  [SCI/JCR3]
Approximation by Piecewise Polynomials on Voronoi Tessellation 
Zhonggui Chen, Yanyang Xiao, Juan Cao*
Graphical Models (Proc. GMP 2014), 76(5), 522-531, 2014
[Website]  [Paper 10M]  [SCI/JCR4]

Feature-Preserving Method for Mosaic Image Generation 
Zhonggui Chen, Yongsheng Ouyang, Juan Cao*
Journal of Computer-Aided Design & Computer Graphics, 26(4):520-527, 2014
[Paper 10M](in Chinese)  [EI]

Abstract: Mosaic is a non-photorealistic rendering method, which synthesizes a large image by packing a collection of small colored tiles. This paper presents a novel feature-preserving method for mosaic image generation, which is based on Voronoi diagram under a non-Euclidean metric. Each Voronoi cell was taken as a tile in the mosaic image. The feature edges were first extracted from the input image automatically. Then a metric matrix was defined such that the edges of the Voronoi diagram under the new metric align with the feature edges. The sizes of the Voronoi cells were controlled by a density function derived from a distance transformation. Finally, the shapes of the Voronoi cells were further optimized by Lloyd’s method.
Isotropic Surface Remeshing Using Constrained Centroidal Delaunay Mesh 
Zhonggui Chen, Juan Cao*, Wenping Wang
Computer Graphics Forum (Proc. Pacific Graphics), 31(7): 2077–2085, 2012
[Website]  [Paper 10M]  [SCI/JCR3]

Abstract: We develop a novel isotropic remeshing method based on constrained centroidal Delaunay mesh (CCDM), a generalization of centroidal patch triangulation from 2D to mesh surface. Our method starts with resampling an input mesh with a vertex distribution according to a user-defined density function. The initial remeshing result is then progressively optimized by alternatively recovering the Delaunay mesh and moving each vertex to the centroid of its 1-ring neighborhood. The key to making such simple iterations work is an efficient optimization framework that combines both local and global optimization methods.
Spherical DCB-spline Surfaces with Hierarchical and Adaptive knot Insertion 
Juan Cao*, Xin Li, Zhonggui Chen, Hong Qin
IEEE Transactions on Visualization and Computer Graphics, 18(8): 1290-1303, 2012
[Website]  [Paper 1.5M]  [SCI/JCR2]

Abstract: This paper develops a novel surface fitting scheme for automatically reconstructing a genus-0 object into a continuous parametric spline surface. A key contribution for making such a fitting method both practical and accurate is our spherical generalization of the Delaunay configuration B-spline (DCB-spline), a new non-tensor-product spline. In this framework, we efficiently compute Delaunay configurations on sphere by the union of two planar Delaunay configurations. Also, we develop a hierarchical and adaptive method that progressively improves the fitting quality by new knot-insertion strategies guided by surface geometry and fitting error. Within our framework, a genus-0 model can be converted to a single spherical spline representation whose root mean square error is tightly bounded within a user-specified tolerance.
  Topology Improvement for Constructing Optimal Delaunay Triangulation 
Zhonggui Chen, Juan Cao*, Chenhui Yang
Journal of Computer-Aided Design & Computer Graphics, 23(12), 1967-1974, 2011
[Paper 0.5M (in Chinese)]  [EI]

Abstract: Optimal Delaunay triangulation (ODT for short) is an optimization-based method for mesh generation. From the point of view of numerical optimization, the existing ODT method is a local optimization method, which is easy to get stuck at a bad local minimum corresponding to a mesh with low quality. In this paper, a topology improvement method is introduced into the ODT optimization procedure, which effectively enables ODT method to become unstuck from a poor local minimum and to proceed with optimization, therefore improves the qualities of generated meshes. The proposed topology improvement consists of only local operations of edge flipping, which is easy to implement.
Non-uniform B-spline Curves with Multiple Shape Parameters
Juan Cao, Guozhao Wang
Journal of Zhejiang University - Science C, 12(10):800-808, 2011
[Paper 0.5M]  [SCI/JCR4]

Abstract: We introduce a kind of shape-adjustable spline curves defined over a non-uniform knot sequence. These curves not only have the many valued properties of the usual non-uniform B-spline curves, but also are shape adjustable under fixed control polygons. Our method is based on the degree elevation of B-spline curves, where maximum degrees of freedom are added to a curve parameterized in terms of a non-uniform B-spline. We also discuss the geometric effect of the adjustment of shape parameters and propose practical shape modification algorithms, which are indispensable from the user’s perspective.
Surface reconstruction using bivariate simplex splines on Delaunay configurations
Juan Cao, Xin Li, Guozhao Wang, Hong Qin
Computers & Graphics, 33:341-350, 2009
[Paper 2M]  [Talk 10M]  [SCI/JCR4, EI]

Abstract: Recently, a new bivariate simplex spline scheme based on Delaunay configuration has been introduced into the geometric computing community, and it defines a complete spline space that retains many attractive theoretic and computational properties. In this paper, we develop a novel shape modeling framework to reconstruct a closed surface of arbitrary topology based on this new spline scheme. Our framework takes a triangulated set of points, and by solving a linear least-square problem and iteratively refining parameter domains with newly added knots, we can finally obtain a continuous spline surface satisfying the requirement of a user-specified error tolerance. Unlike existing surface reconstruction methods based on triangular B-splines (or DMS splines), in which auxiliary knots must be explicitly added in advance to form a knot sequence for construction of each basis function, our new algorithm completely avoids this less-intuitive and labor-intensive knot generating procedure. We demonstrate the efficacy and effectiveness of our algorithm on real-world, scattered data sets for shape representation and computing.
A Note on Class A Bézier Curves
Juan Cao, Guozhao Wang
Computer Aided Geometric Design, 25: 523–528, 2008
[Paper 0.5M]  [SCI/JCR3]

Abstract: The Class A Bézier curves presented in Farin (2006) were constructed by so-called Class A matrix, which are special matrices satisfying two appropriate conditions. The speciality of the Class A matrix causes the Class A Bézier to possess two properties, which are sufficient conditions for the proof of the curvature and torsion monotonicity. In this paper, we discover that, in Farin (2006), the conditions Class A matrix satisfied cannot guarantee one of the two properties of the Class A Bézier curves, then the proof of the curvature and torsion monotonicity becomes incomplete. Furthermore, we modified the conditions for the Class A matrices to complete the proof.
The Structure of Uniform B-spline Curves with Parameters
Juan Cao, Guozhao Wang
Progress in Natural Science, 18: 303–308, 2008
[Paper 2M]  [SCI/JCR4]

Abstract: The shape-adjustable curve constructed by uniform B-spline basis function with parameter is an extension of uniform B-spline curve. In this paper, we study the relation between the uniform B-spline basis functions with parameter and the B-spline basis functions. Based on the degree elevation of B-spline, we extend the uniform B-spline basis functions with parameter to ones with multiple parameters. Examples show that the proposed basis functions provide more flexibility for curve design.

Grants

2012.01 - 2014.12     National Science Foundation of China (No. 61100105)      PI

2011.04 - 2014.03     National Science Foundation of Fujian Province (No. 2011J05007)      PI

2012.01 - 2014.12     National Science Foundation of China (No. 61100107)      Co-PI

2012.01 - 2014.12     National Science Foundation of Fujian Province (No. 2012J01291)      Co-PI








Academic Activities


  • Attending Academic Conferences

    • 2012.09  Pacific Graphics 2012, Hong Kong
    • 2012.06  Geometric Modeling and Processing 2012, Huangshan, China
    • 2011.11  The 5th CSIAM Geometric Design & Computing, Guangzhou, China
    • 2010.09  Pacific Graphics 2010, Hangzhou, China
    • 2009.08  The 4th CSIAM Geometric Design & Computing, Xiamen, China
    • 2009.06  IEEE International Conference on Shape Modeling and Applications 2009, Beijing, China
    • 2008.06  ACM Solid and Physical Modeling Symposium 2008, Stony Brook, USA
    • 2008.06  IEEE International Conference on Shape Modeling and Applications 2008, Stony Brook, USA
    • 2007.06  ACM Solid and Physical Modeling Symposium, Beijing, China
    • 2007.07 The 3th CSIAM Geometric Design & Computing, Lanzhou, China
    • 2006.08  The 2nd China-Korea Joint Conference on Geometric and Visual Computing, Hangzhou, China
  • Visiting







Teaching

Single Variable Calculus, Multivariable Calculus, Linear Algebra

Last Modified: 09 Aug. 2016
  
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