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25 Janvier 2011

Catégorie : Conférence internationale

Fourth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA 2011)

In conjunction with CVPR 2011 (Colorado Springs CO, USA)

Call for papers

Nonrigid and deformable shapes are ubiquitous in the world surrounding us, on all levels from nano to macro. The need to study such shapes and model their behavior arises in a wide spectrum of applications, ranging from medical imaging and augmented reality to design engineering and homeland security. In recent years, problems of nonrigid shape analysis and deformable image alignment have attracted a growing interest in computer vision and pattern recognition communities, which has led to rapid development of the field, where state-of-the-art results from very different sciences - theoretical and numerical geometry, optimization, linear algebra, graph theory, machine learning and computer graphics, to mention a few - are applied to find solutions.

The purpose of the workshop is to bring together leading researches dealing with different aspects of nonrigid shape analysis and deformable image alignment in order to promote new interdisciplinary collaborations and expose each side to the most recent results and problems in each field. The purpose is to identify new problems as well as potential solutions. The unique value of the workshop is bringing together people from communities traditionally considered to be working in different areas and rarely meeting in the same conferences, rather than hosting papers rejected from main conferences.

This will be the fourth time NORDIA is held. Previous issues of the Workshop on Non-rigid Shapes and Deformable Image Alignment were held in conjunction with CVPR 08 in Anchorage (USA), ICCV 09 in Kyoto (Japan), and CVPR 10 in San Francisco (USA). All the workshops received high interest and attendance.


The main focus of the workshop is geometric models and methods for analysis of nonrigid shapes and fine registration of deformable and articulated scenes in still frames and video sequences. We especially encourage inter-disciplinary papers bridging between topics and methods in image analysis and retrieval, machine learning, computational geometry, and computer graphics. We are expecting papers with original contribution covering, but not limited to, the following main topics:

  • Deformable models
  • Full and partial shape similarity and recognition
  • 2D/2D, 2D/3D, and 3D/3D alignment and nonrigid correspondence problems
  • Inverse problems involving nonrigid shapes
  • Shape synthesis
  • Nonrigid structure from motion
  • Structure, self-similarity, and symmetry detection
  • Feature-based methods
  • Multimodal analysis
  • Large-scale shape retrieval
  • Learning-based methods, especially metric and similarity learning
  • Efficient optimization algorithms
  • Merging of detection and alignment
  • Sensor fusion
  • Applications, especially with Internet-scale data