Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using shape distributions to compare solid models
Proceedings of the seventh ACM symposium on Solid modeling and applications
ACM Transactions on Graphics (TOG)
Content-based retrieval of 3D models
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Towards Multi-View Object Class Detection
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A new 3D model retrieval approach based on the elevation descriptor
Pattern Recognition
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
3D object retrieval using the 3D shape impact descriptor
Pattern Recognition
Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features
Proceedings of the ACM International Conference on Image and Video Retrieval
3D model comparison using spatial structure circular descriptor
Pattern Recognition
Similarity Learning for 3D Object Retrieval Using Relevance Feedback and Risk Minimization
International Journal of Computer Vision
A 3D Shape Retrieval Framework Supporting Multimodal Queries
International Journal of Computer Vision
PANORAMA: A 3D Shape Descriptor Based on Panoramic Views for Unsupervised 3D Object Retrieval
International Journal of Computer Vision
A 3D shape retrieval framework for 3D smart cities
Frontiers of Computer Science in China
Proceedings of the international conference on Multimedia
3D model retrieval using weighted bipartite graph matching
Image Communication
Location Discriminative Vocabulary Coding for Mobile Landmark Search
International Journal of Computer Vision
Global contrast based salient region detection
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A Bayesian 3-D Search Engine Using Adaptive Views Clustering
IEEE Transactions on Multimedia
Content-Based 3-D Model Retrieval: A Survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
3D object retrieval based on a graph model descriptor
Neurocomputing
Less is More: Efficient 3-D Object Retrieval With Query View Selection
IEEE Transactions on Multimedia
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Recent research effort has been dedicated to view based 3-D object retrieval, because of highly discriminative property of 3-D object and has multi view representation. The state-of-art method is highly depending on their own camera array setting for capturing views of 3-D object and use complex Zernike descriptor, HAC for representative view selection which limit their practical application and make it inefficient for retrieval. Therefore, an efficient and effective algorithm is required for 3-D Object Retrieval. In order to move toward a general framework for efficient 3-D object retrieval which is independent of camera array setting and avoidance of representative view selection, we propose an Efficient View Based 3-D Object Retrieval (EVBOR) method using Hidden Markov Model (HMM). In this framework, each object is represented by independent set of view, which means views are captured from any direction without any camera array restriction. In this, views are clustered (including query view) to generate the view cluster, which is then used to build the query model with HMM. In our proposed method, HMM is used in twofold: in the training (i.e. HMM estimate) and in the retrieval (i.e. HMM decode). The query model is trained by using these view clusters. The EVBOR query model is worked on the basis of query model combining with HMM. The proposed approach remove statically camera array setting for view capturing and can be apply for any 3-D object database to retrieve 3-D object efficiently and effectively. Experimental results demonstrate that the proposed scheme has shown better performance than existing methods.[Figure not available: see fulltext.]