3D Model Retrieval

In many application domains such as Computer Aided Design, Architecture, Visualization, Entertainment and so forth, 3D models are being created, leading to 3D repositories of increasing size. Also, improved acquisition and reconstruction methods contribute to an increase in the number of available 3D model data. As 3D repositories continue to increase in size, methods for content-based retrieval in 3D model data become increasingly important. In this project, we research methods for 3D model retrieval based on global shape descriptors. Recent work of ours explored the application of 2D image analysis methods in the 3D domain, including descriptors based on the Hough Transform. We also research methods for combining sets of complementary 3D descriptors for improved retrieval results.

Contact: Tobias Schreck, Maximilian Scherer

3D models represent a data type of high importance in applications such as Computer-Aided Design, Visualization, or Entertainment. We research content-based retrieval in 3D model databases relying of global 3D shape descriptors. We also research methods to form combinations of descriptors for improved retrieval quality.  


STELA: Sketch-Based 3D Model Retrieval using a Structure-Based Local Approach
Saavedra, J. M.; Bustos, B.; Scherer, M.; Schreck, T.
In: ACM International Conference on Mulimedia Retrieval , to appear, 2011
Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours
Yoon, S. M.; Scherer, M.; Schreck, T.; Kuijper, A.
In: Proceedings of the international conference on Multimedia (ACM MM), pp. 193-200, 2010
Histograms of Oriented Gradients for 3D Object Retrieval
Scherer, M.; Walter, M.; Schreck, T.
WSCG 2010, 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. Full Papers Proceeding, pp. 41-48, 2010  


Technische Universität Darmstadt

Interactive Graphics Systems Group

Fraunhoferstr. 5
64283 Darmstadt

Tel. +49 6151 155 679

icon email office@gris.tu-

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