The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Unique shape context for 3d data description
Abstract
The use of robust feature descriptors is now key for many 3D tasks such as 3D object recognition and surface alignment. Many descriptors have been proposed in literature which are based on a non-unique local Reference Frame and hence require the computation of multiple descriptions at each feature points. In this paper we show how to deploy a unique local Reference Frame to improve the accuracy and reduce the memory footprint of the well-known 3D Shape Context descriptor. We validate our proposal by means of an experimental analysis carried out on a large dataset of 3D scenes and addressing an object recognition scenario.
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Cites
A performance evaluation of local descriptors
Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723
Shape matching and object recognition using shape contexts
Belongie, S., Malik, J., & Puzicha, J. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.993558 · Cited by 6,306
Closed-form solution of absolute orientation using unit quaternions
Horn, B. K. P. (1987) · Journal of the Optical Society of America A · doi:10.1364/josaa.4.000629 · Cited by 4,116
Using spin images for efficient object recognition in cluttered 3D scenes
Johnson, A. E., & Hebert, M. (1999) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.765655 · Cited by 2,599
Unique Signatures of Histograms for Local Surface Description
Tombari, F., Salti, S., & Di Stefano, L. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15558-1_26 · Cited by 1,480
Self-citationA Concise and Provably Informative Multi‐Scale Signature Based on Heat Diffusion
Sun, J., Ovsjanikov, M., & Guibas, L. (2009) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01515.x · Cited by 1,450
Recognizing Objects in Range Data Using Regional Point Descriptors
Frome, A., Huber, D., Kolluri, R., Bülow, T., & Malik, J. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24672-5_18 · Cited by 885
Shape indexing using approximate nearest-neighbour search in high-dimensional spaces
Beis, J. S., & Lowe, D. G. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609451 · Cited by 879
Intrinsic shape signatures: A shape descriptor for 3D object recognition
Zhong, Y. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457637 · Cited by 823
Recovery of parametric models from range images: the case for superquadrics with global deformations
Solina, F., & Bajcsy, R. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.44401 · Cited by 603
Cited by
A Comprehensive Performance Evaluation of 3D Local Feature Descriptors
Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J., & Kwok, N. M. (2016) · International Journal of Computer Vision · doi:10.1007/s11263-015-0824-y · Cited by 555
Metadata
- Authors
- Tombari, F., Salti, S., & Di Stefano, L.
- Venue
- Proceedings of the ACM workshop on 3D object retrieval
- Publisher
- ACM
- Published
- 2010-10-25
- Pages
- 57-62
- OpenAlex
- W2133098875
- Cited by
- 331
- References
- 22
- FWCI
- 8.86
- Type
- conference paper
- Language
- en
- Open access
- closed
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