Open Access

CGCI-SIFT: A More Efficient and Compact Representation of Local Descriptor


Cite

[1] Lowe, D.G. (2004). Distinctive image features from scale-invariant keypoints. International Journal ofComputer Vision, 60 (2), 91-110.10.1023/B:VISI.0000029664.99615.94Search in Google Scholar

[2] Strecha, Ch., Bronstein, A.M. (2012). LDAHash: Improved matching with smaller descriptors. IEEETransactions on Pattern Analysis and MachineIntelligence, 34 (1), 66-78.10.1109/TPAMI.2011.10321576750Search in Google Scholar

[3] Senchenko, E.S., Chugui, Yu.V. (2011). Shadow inspection of 3D objects in partially coherent light. Measurement Science Review, 11 (4), 104-107.10.2478/v10048-011-0018-xSearch in Google Scholar

[4] Jin Guofeng, Zhang Wei, Yang Zhengwei et al. (2012). Image segmentation of thermal waving inspection based on particle swarm optimization fuzzy clustering algorithm. Measurement Science Review, 12 (6), 296-301.10.2478/v10048-012-0041-6Search in Google Scholar

[5] Harris, Ch., Stephens, M. (1988). A combined corner and edge detector. In Proceedings of the 4th AlveyVision Conference, 147-151.10.5244/C.2.23Search in Google Scholar

[6] Mikolajczyk, K., Schmid, C. (2005). A performance evaluation of local descriptors. IEEE Transactions onPattern Analysis and Machine Intelligence, 27 (10), 1615-1630.10.1109/TPAMI.2005.18816237996Search in Google Scholar

[7] Bay, H., Ess, A., Tuytelaars, T., Gool, L.V. (2008). SURF: Speeded up robust features. Computer Visionand Image Understanding, 10 (3), 346-359.10.1016/j.cviu.2007.09.014Search in Google Scholar

[8] Yan Ke, Sukthankar, R. (2004). PCA-SIFT: A more distinctive representation for local image descriptors. In Computer Vision and Pattern Recognition (CVPR2004), 27 June- 2 July 2004. IEEE, Vol. 2, 506-513.Search in Google Scholar

[9] Mortensen, E.N., Deng Hongli, Shapiro, L. (2005). A SIFT descriptor with global context. In ComputerVision and Pattern Recognition (CVPR 2005), 20-25 June 2005. IEEE, Vol. 1, 184-190.Search in Google Scholar

[10] Tola, E., Lepetit, V., Fua, P. (2010). Daisy: An efficient dense descriptor applied to wide baseline stereo. IEEETransactions on Pattern Analysis and MachineIntelligence, 32 (5), 815-830.10.1109/TPAMI.2009.7720299707Search in Google Scholar

[11] Yang Duanduan, Sluzek, A. (2010). A lowdimensional local descriptor incorporating TPS warping for image matching. Image & VisionComputing, 28 (8), 1184-1195.Search in Google Scholar

[12] Tuytelaars, T., Mikolajczyk, K. (2008). Local invariant feature detectors: A survey. Computer Graphics andVision, 3 (3), 177-280.Search in Google Scholar

[13] Rabbani, H. (2011). Statistical modeling of low SNR magnetic resonance images in wavelet domain using laplacian prior and two-sided rayleigh noise for visual quality improvement. Measurement Science Review, 11 (4), 125-130.10.2478/v10048-011-0023-0Search in Google Scholar

[14] Xianqing Lei, Chunyang Zhang, Yujun Xue, Jishun Li. (2011). Roundness error evaluation algorithm based on polar coordinate transform. Measurement, 44 (2), 345-350.10.1016/j.measurement.2010.10.007Search in Google Scholar

[15] Bai Cong, Kpalma Kidiyo, Ronsin Joseph. (2011). Analysis of histogram descriptor for image retrieval in DCT domain. In Intelligent Interactive MultimediaSystems and Services. Springer, Vol. 11, 227-235.Search in Google Scholar

[16] Huang, C.R., Chen, C.R., Chung, P.C. (2008). Contrast context histogram an efcient discriminating local descriptor for object recognition and image matching. Pattern Recognition, 41 (10), 3071-3077.10.1016/j.patcog.2008.03.013Search in Google Scholar

[17] Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A. (2005). A comparison of affine region detectors. International Journal of Computer Vision, 65 (1/2), 43-72.10.1007/s11263-005-3848-xSearch in Google Scholar

eISSN:
1335-8871
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Engineering, Electrical Engineering, Control Engineering, Metrology and Testing