Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
3D zernike descriptors for content based shape retrieval
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Skeleton Based Shape Matching and Retrieval
SMI '03 Proceedings of the Shape Modeling International 2003
Shape-Similarity Search of 3D Models by using Enhanced Shape Functions
TPCG '03 Proceedings of the Theory and Practice of Computer Graphics 2003
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Matching 3D Models with Shape Distributions
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
A Survey of Content Based 3D Shape Retrieval Methods
SMI '04 Proceedings of the Shape Modeling International 2004
Shapeme Histogram Projection and Matching for Partial Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
Content-based retrieval of 3D models
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A new 3D model retrieval approach based on the elevation descriptor
Pattern Recognition
Content-Based 3D Object Retrieval
IEEE Computer Graphics and Applications
Three-dimensional shape searching: state-of-the-art review and future trends
Computer-Aided Design
Thesaurus-based 3D Object Retrieval with Part-in-Whole Matching
International Journal of Computer Vision
Shape Similarity for 3D Video Sequences of People
International Journal of Computer Vision
IEEE Transactions on Image Processing
Investigating the bag-of-words method for 3D shape retrieval
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Measuring 3D shape similarity by graph-based matching of the medial scaffolds
Computer Vision and Image Understanding
A Bayesian 3-D Search Engine Using Adaptive Views Clustering
IEEE Transactions on Multimedia
Coarse filters for shape matching
IEEE Computer Graphics and Applications
The Evaluation of Shape Distribution for Object Recognition Based on Kinect-Like Depth Image
CICSYN '12 Proceedings of the 2012 Fourth International Conference on Computational Intelligence, Communication Systems and Networks
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3D shape descriptor has been used widely in the field of 3D object retrieval. However, the performance of object retrieval greatly depends on the shape descriptor used. The aims of this study is to review and compare the common 3D shape descriptors proposed in 3D object retrieval literature for object recognition and classification based on Kinect-like depth image obtained from RGB-D object dataset. In this paper, we introduce (1) inter-class; and (2) intra-class evaluation in order to study the feasibility of such descriptors in object recognition. Based on these evaluations, local spin image outperforms the rest in discriminating different classes when several depth images from an instance per class are used in inter-class evaluation. This might be due to the slightly consistent local shape property of such images and due to the proposed local similarity measurement that manages to extract the local based descriptor. However, shape distribution performs excellent for intra-class evaluation (that involves several instances per class) may be due to the global shape from different instances per class is slightly unchanged. These results indicate a remarkable feasibility analysis of the 3D shape descriptor in object recognition that can be potentially used for Kinect-like sensor.