Towards a new approach for the description of shapes from multimodal data

The construction of a Virtual Environments (VE) requires a long iterative modeling and modification process. Depending on the final purposes, many actors can be involved both in the early conception and in the detailed specification of what has to be included and how it has to be organized. These actors may have different knowledge and expertise. It is therefore important to define tools easy usable even by nonprofessionals in order to facilitate the VE specification and setup. Such tools should allow the incomplete specification of details and the reuse of existing assets and data, either 2D images or 3D models. In this perspective, the work presented in this paper proposes a new shape description model for the management of objects and assemblies, resulting from the combination of multimodal data, together with their intrinsic properties. Based on such a model high level methods and tools directly working on components (either 2D or 3D) can be developed. Thus making easier the solution specification by the application domain experts, which can thus better integrated within the VE design process. This new shape description model is thought to be used as an intermediary model shared between the various actors in the generation process of VEs to keep the link and digital chain between them. The concepts of this model are proposed and illustrated through a first implementation.

[1]  Marcus S. Day,et al.  Feature Tracking Using Reeb Graphs , 2011, Topological Methods in Data Analysis and Visualization.

[2]  Remco C. Veltkamp,et al.  A survey of content based 3D shape retrieval methods , 2004, Proceedings Shape Modeling Applications, 2004..

[3]  Paul L. Rosin Measuring shape: ellipticity, rectangularity, and triangularity , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[4]  Vincent G. Duffy,et al.  An Internet virtual reality collaborative environment for effective product design , 2001, Comput. Ind..

[5]  Szymon Rusinkiewicz,et al.  Symmetry descriptors and 3D shape matching , 2004, SGP '04.

[6]  P. Baranyi,et al.  Definition and synergies of cognitive infocommunications , 2012 .

[7]  Franz Aurenhammer,et al.  Medial axis computation for planar free-form shapes , 2009, Comput. Aided Des..

[8]  Tassos A. Mikropoulos,et al.  Educational virtual environments: A ten-year review of empirical research (1999-2009) , 2011, Comput. Educ..

[9]  Szymon Rusinkiewicz,et al.  Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors , 2003, Symposium on Geometry Processing.

[10]  Ed Zaluska,et al.  Surface subdivision for generating superquadrics , 1998, The Visual Computer.

[11]  Melvin E. D. Jacobson,et al.  Skeleton Graph Generation for Feature Shape Description , 2000 .

[12]  Bernard Chazelle,et al.  Shape distributions , 2002, TOGS.

[13]  Ernest L. Hall,et al.  Three-Dimensional Moment Invariants , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Walid Y. Thabet,et al.  A Virtual Construction Environment for preconstruction planning , 2003 .

[15]  Ronald H. Huesman,et al.  Tomographic reconstruction using an adaptive tetrahedral mesh defined by a point cloud , 2006, IEEE Transactions on Medical Imaging.

[16]  Paul F. Whelan,et al.  Image segmentation based on the integration of colour-texture descriptors - A review , 2011, Pattern Recognit..

[17]  Niklas Peinecke,et al.  Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids , 2006, Comput. Aided Des..

[18]  Guojun Lu,et al.  Review of shape representation and description techniques , 2004, Pattern Recognit..

[19]  Jean-Daniel Boissonnat,et al.  Skeletal Structures , 2008, Shape Analysis and Structuring.