ACM Transactions on Graphics (TOG)
The Complex EGI: A New Representation for 3-D Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape-Similarity Search of 3D Models by using Enhanced Shape Functions
TPCG '03 Proceedings of the Theory and Practice of Computer Graphics 2003
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Feature-based similarity search in 3D object databases
ACM Computing Surveys (CSUR)
The representation and matching of categorical shape
Computer Vision and Image Understanding
Learning semantic categories for 3D model retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Graph matching using the interference of continuous-time quantum walks
Pattern Recognition
FReBIR: An image retrieval system based on fuzzy region matching
Computer Vision and Image Understanding
A 3-D Search engine based on Fourier series
Computer Vision and Image Understanding
The Journal of Machine Learning Research
Artwork 3D model database indexing and classification
Pattern Recognition
Efficient 3-D model search and retrieval using generalized 3-D radon transforms
IEEE Transactions on Multimedia
Building the Component Tree in Quasi-Linear Time
IEEE Transactions on Image Processing
Learning kernels on extended Reeb graphs for 3d shape classification and retrieval
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
| Hi-index | 0.00 |
We present a search engine dedicated to 3D object databases. The originality of the method is to represent models by adjacency graphs of surfacic regions. After segmentation of the 3D surface of a model, regions are described by various shape descriptors. The similarity between graphs is computed by kernels on graphs computed from kernels on walks. These kernel functions take into account both the similarity between regions and their spatial relationship. The search engine performs interactive research in a database from a query object, by using semi-supervised classification. The system is applied to a database of 3D high resolution artwork models. We show that a graph representation outperforms a global description of the objects, when using the same descriptors.