Xianghua Xie Swansea University U.K. e-mail Web

Deformable modeling is a powerful tool in extracting object shape, structure, and motion patterns. It is particularly suitable for non-rigid objects and has been widely used to measure and model, for instance, biological shape and shape evolution in medical data where shape extraction and analysis have shown enormous promise in understanding biological function and disease progression. Its application has a wide reach in all areas of computer vision.

This special session is devoted to the discussion of recent advances in shape analysis and deformable modeling, in particular, for non rigid objects. Contributions presenting recent work on shape representation, extraction, learning, classification and dynamic modeling are particularly welcome. The technical topics include, but are not limited to:

• Shape Representation and Learning
• Shape Matching, Classification, and Registration
• Active Shape Model and Active Appearance Model
• Active Contour and Surface Model
• Partial Differential Equations
• Level Set Methods
• Variational Methods
• Shape Based Motion Analysis
• Applications

All accepted papers (full, short and posters) will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP and EI (Elsevier Index).
All papers presented at the conference venue will be available at the SciTePress Digital Library (http://www.scitepress.org/DigitalLibrary/). SciTePress is member of CrossRef (http://www.crossref.org/).

 

Last update: 14.2.2012 · © INSTICC