Professor Leif Kobbelt, RWTH Aachen University of Technology

Title

    Augmentation and Pre-Processing of 3D models

Abstract

    Today the generation of raw 3D models has become quite easy. Typical sources for geometric data are: 3D scanning, CAD system output, reconstructions from images and video andso on. However, while these models usually have a sufficient quality at the first glance, the removal of inconsistencies and other optimizations are still necessary to make these raw models any useful for downstream applications beyond mere display. Besides this basic mesh repair, one would also like to convert unstructured polygonal models into meshes where individual faces are of high quality in terms of aspect ratio and the degrees of freedom i.e. vertices) are aligned to major geometric features. These are the global and the local aspects of remeshing techniques respectively. In my talk ,I will present a number of mesh repair and mesh optimization techniques which are numerically robust and sufficiently efficient to process large dataset of realistic input quality.

Biography

    Leif Kobbelt is a full Professor of Computer Science and the Head of the Computer Graphics group at the RWTHAachenUniversity of Technology, Germany. His research interests include all areas of Computer Graphics and Geometry Processing with a focus on multiresolution and freeform modeling, 3D model optimization, as well as the efficient handling of polygonal mesh data. He was a senior researcher at the Max-Planck Institute for Computer Science in Saarbrucken, Germany, from 1999 to 2000 after he received his Habilitation degree from the University of Erlangen, where he worked from 1996 to 1999. In 1995/96 he spent a post-doc year at the University of Wisconsin, Madison. He received his PhD and MS degrees from the University of Karlsruhe, Germany, in 1994 and 1992, resp. Dr. Kobbelt's research work during the last years resulted in numerous widely cited publications in top scientific journals and international conferences. He is invited regularly to give keynote presentations and tutorial lectures. For his contributions he received several scientific awards on the national and international level. He has ongoing collaborations with colleagues in Europe,North America, and Asia, and frequently serves on international program committees, and organized and co-chaired several workshops and conferences.

Professor Kwan-Liu Ma, University of California at Davis

Title

    Information Visualization

Abstract

    The widespread use of Internet has led to information explosion, a daunting challenge we must address in order to make sense and maximize utilization of all the available information. Visualization proves effective to aid in detecting and understanding the hidden features and patterns in massive, dynamically changing information spaces. I will introduce techniques for visualizing security, socialnetwork, and software. Specifically, I will present a visual analysis tool for understanding large, heterogeneous social networks, e.g., a terrorism network,in which nodes and links could represent different subjects and relations, respectively. I will also present visualization designs for monitoring large software development team and the evolution of the software system.

Biography

    Dr. Kwan-Liu Ma is the director of the DOE SciDAC Institute for Ultra-Scale Visualization, and a professor of computer science at the University of California-Davis. His research spans the fields of visualization, computer graphics, and high performance computing.Professor Ma received his PhD in computer science from the University of Utah in 1993. During 1993-1999, he was with ICASE/NASA LaRC as a research scientist. In 1999, he joined UC Davis. In the following year, Professor Ma received the Presidential Early Career Award or Scientists and Engineers (PECASE) for his work in parallel visualization. In 2001, he received the Schlumberger Foundation Technical Award for his work in large data visualization.
    Professor Ma is presently leading a team of 15 researchers working on projects in parallel rendering, volume modeling and visualization, artistically inspired illustrations, visual interface designs, and information visualization. He also actively serves the research community by playing leading role in the 2005 NSF Workshop on Cyber Security, SC06 Workshop on Ultra-Scale Visualization, and 2007 Asia-Pacific Symposium on Visualization.

鲍虎军教授，浙江大学

Title

    Real-time Rendering Techniques and Engine for Large-scale Scenes

Abstract

    Real-time rendering for large-scale scenes is an interesting but very challenging problem in computer graphics nowadays. The focal point of this problem is how to effectively coordinate the conflicts between the scene complexity expansion and the demand of time-efficiency and realistic quality of rendering. The real-time rendering engine, which is the organic integration of multiple real-time rendering techniques, is the core component of many graphics applications, i.e., virtual prototype, industrial simulation, military simulation, flight simulator, scientific visualization.
    This report will introduce the state-of-art of the real-time rendering for large-scale scenes, including simplification and multiresolutional rendering, occlusion culling, out-of-core rendering, and etc. Meanwhile, it will introduce the recent research fruits in this subject done by CAD&CG State Key Lab, ZhejiangUniversity, such as large-scale terrain visualization, real-time rendering of large-scale woods, shadow generating for dynamic scenes and so on.
    Besides, the report will introduce the real-time rendering engine developed by CAD&CG State Key Lab. The design goal, architecture, integrated algorithms, development status and current release will be briefly depicted.

Biography

陈发来教授，中国科技大学

Title

    基于隐式样条与T网格样条的重建

Abstract

    由三维散乱数据重建曲面的几何表示是几何造型中感兴趣的研究问题之一。三维散乱数据重构面临的主要挑战是：几何与拓扑未知，且可能很复杂；数据量的巨大；扫描数据的不完整或不规则；问题的数学解的不唯一性，等等。本报告将首先介绍基于隐式样条表示的曲线、曲面重构算法。其主要思想是，建立散乱数据重构的数学模型，利用优化算法让隐式样条曲线、曲面逐次逼近给定的数据点集。为提高算法的效率，我们进一步提出基于自适应T网格上的样条及隐式样条的重构算法。我们给出一些实例来说明算法的效率与实现效果。

Biography

   陈发来，中国科学技术大学数学系教授。1982年进入中国科技大学数学系学习，1994年获中国科技大学计算数学专业博士学位。作为访问学者，先后访问美国杨伯翰大学、美国Rice大学、香港科技大学、香港大学、奥地利林茨大学等。现为中国工业应用数学学会常务理事，及几何设计与计算分会副主任，《Visual Computer》，《数学与系统科学》，《数值计算与计算机应用》，《高校计算数学学报》，《计算机辅助设计与图形学学报》等期刊编委。曾两次获国家级教学成果二等奖。2001年获教育部高校青年教师奖。2002年获国家自然科学基金杰出青年基金。2003年获宝钢优秀教师奖特等奖。近来感兴趣的研究课题包括：曲面隐式化的动曲面方法，曲线、曲面的μ基理论，用隐式曲面重构三维散乱数据点等。

Baining Guo，Principal researcher, Microsoft Research Asia

Title

Abstract

Biography

    Baining Guo is a principal researcher at Microsoft Research Asia, where he's the head of the graphics group. Before joining Microsoft, Baining was a senior staff researcher in Microcomputer Research Labs at Intel Corporation in Santa Clara, California. Baining received his Ph.D. and M.S. from Cornell University and his B.S. from Beijing University. His research interests are mainly in modeling and rendering areas of computer graphics, including texture synthesis, reflectance and shading models, real-time rendering, natural phenomena, and geometry modeling. Baining is an associate editor of IEEE Trans. on Visualization and Computer Graphics. Baining holds over 30 granted and pending US patents.