Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Graphics (TOG)
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A Survey of Content Based 3D Shape Retrieval Methods
SMI '04 Proceedings of the Shape Modeling International 2004
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
A Bayesian 3-D Search Engine Using Adaptive Views Clustering
IEEE Transactions on Multimedia
Thesaurus-based 3D Object Retrieval with Part-in-Whole Matching
International Journal of Computer Vision
A 3D Shape Retrieval Framework Supporting Multimodal Queries
International Journal of Computer Vision
Towards an immersive interface for 3D object retrieval
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Sketch-based 3D model retrieval by viewpoint entropy-based adaptive view clustering
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model distribution scores to select the optimal number of views to characterise a 3D-model. The search engine also uses a probabilistic Bayesian method to retrieve 3D-models visualy similar to a query 3D-model, photos or sketches. We present our results on the Princeton 3D Shape Benchmark database (1814 3D-models). Our 3D-model search engine is available on-line to assess and test our results. To our knowledge the FOX-MIIRE search engine is the first search engine that accepts 3D-models retrieval from photos [5]. The FOX-MIIRE search engine adapts its own user interface depending on the web access device (desktop computer, PDA, SmartPhone).