Course info

Description: The International Summer School on Shape Modeling and Reasoning focuses on representations and computational techniques for modeling and reasoning on digital shapes. A digital shape is any individual object having a visual appearance which exists in a two or higher dimensional space. Pictures, sketches, images, 3D objects, videos, and animations are examples of shapes. Digital shapes are used in many different contexts, including industrial design, biomedical applications, entertainment, environmental monitoring, cultural heritage.

The program consists of invited lectures, given by leading international scientists in the field, who will present state-of-the-art techniques on shape modeling and reasoning, and will bring complementary views of problems and solutions. The school is organized by the Department of Computer Science (DISI) of the University of Genova in collaboration with the Institute for Applied Mathematics and Information Technology of Italian National Research Council and the Israel Institute of Technology (TECHNION) within the EU FP6 Network of Excellence AIM@SHAPE.

The AIM@SHAPE activity and related infrastructure will be also presented and participants will have the opportunity to interact with data and use tools produced and made available in the network.

Prerequisites: Participants should have basic knowledge of classical algorithms and data structure and of computer graphics.

Intended audience: The school is primarily intended for young researchers with some background in computer science, computer engineering, or mathematics.

Topics:

The summerschool presents lectures on:

• Multidimensional, Spatial, and Metric Data Structures for Computer Graphics Applications. Hanan Samet (University of Maryland).
• Geometry Processing. Pierre Alliez (INRIA).
• Strategies for Mesh Segmentation. Ariel Shamir (Mitsubishi Electric Research Laboratories).
• Mesh-based Shape Representations. Leila De Floriani, Enrico Puppo (Universita’ di Genova).
• Curve Skeletons. Applications & Algorithms. Deborah Silver (Rurgers University).
• Multi-resolution Modeling. Stephanie Hahmann (INPG), Basile Sauvage (ULP Strasbourg).
• 3D Data fusion and mesh reconstruction methods utilizing 3D Emerging Non-Contact Scanning Technologies. Anath Fischer (Technion).
• Shape Matching and Retrieval. Simone Marini, Michela Spagnuolo, Daniela Giorgi, Silvia Biasotti (IMATI-GE, CNR).

Course material:

• Geometry Processing
• Strategies for Mesh Segmentation
• Mesh-based Shape Representations.
• Multi-resolution Modeling
• Shape Matching and Retrieval