Matching of Interesting Points Based on Improved SIFT Algorithm

Lowe D. Distinctive image features from scale-invariantkeypoints[J].International Journal of Computer Vision.2004,60(2):91-110[2]Luo Jun, Ma Y, Takikawa E, Lao S, Kawade M, and LuBao-Liang. Person-specific SIFT features for facerecognition[C]. IEEE International Conference on Acoustics,Speech and Signal Processing, Honolulu, Hawaii, USA, April,2007, 2(II): 593-596.[3]Hu Xue-long, Tang Ying-cheng, and Zhang Zheng-hua. Videoobject matching based on SIFT algorithm[C]. InternationalConference on Neural Networks and Signal Processing,Zhenjiang, China, June, 2008: 412-415.Yang Zhan-Long and Guo Bao-Long. Image mosaic based onSIFT[C]. Intelligent Information Hiding and MultimediaSignal Processing, Harbin, China, August, 2008: 1422-1425.Gao Ke, Lin Shou-xun, Zhang Yong-dong, Tang Sheng, andRen Hua-min. Attention model based SIFT keypointsfiltration for image retrieval[C]. 7th IEEE/ACISInternational Conference on Computer and InformationScience, Portland, Oregon, USA, May, 2008: 191-196.[4]Re Y and Sukthankar R. PCA-SIFT: A more distinctiverepresentation for local image descriptors[C]. Proceedings ofthe IEEE Conference on Computer Vision and PatternRecognition, Washington, DC, USA, June, 2004, 2: 506-513.[5]Dalal N and Triggs B. Histograms of oriented gradients forhuman detection[C]. Proceedings of the IEEE Conference onComputer Vision and Pattern Recognition, San Diego, CA,USA, June, 2005: 886-893.[6]Lazebnik S, Schmid C, and Ponce J. A sparse texturerepresentation using local affine regions[J].IEEETransactions on Pattern Analysis an Machine Intelligence.2005, 27(8):1265-1278[7]Bay H, Tuytelaars T, and Gool Van J L. SURF: Speeded UpRobust Features[C]. European Conference on ComputerVision, Graz, Austria, May, 2006: 404-417.[8]Mikolajczyk K and Schmid C. A performance evaluation oflocal descriptors[J].IEEE Transactions on Pattern Analysisan Machine Intelligences.2005, 27(10):1615-1630[9]Stein A and Hebert M. Incorporating background invarianceinto feature-based object recognition[C]. IEEE Workshops onApplication of Computer Vision, Breckenridge, CO, USA,Jan, 2005, 1: 37-44.[10]Abdel-Hakim A E and Farag A A. CSIFT: A SIFT descriptorwith color invariant characteristics[C]. Proceedings ofComputer Vision and Pattern Recognition Conference, NewYork, USA, 2006: 1978-1983.[11]Ancuti C and Bekaert P. SIFT-CCH: Increasing the SIFTdistinctness by color co-occurrence histograms[C].Proceedings of the 5th International Symposium on imageand Signal Processing and Analysis, Istanbul, Turkey, 2007:130-135.Cheung W and Hamarneh G. n-SIFT: n-dimensional scaleinvariant feature transform for matching medical images[C].Proceedings of the Fourth IEEE International Symposium onBiomedical Imaging: From Nano to Macro, Washington D.C.,USA, 2007: 720-723.Kisku, D R, Rattani A, Grosso E, and Tistarelli M. Faceidentification by SIFT-based complete graph topology[C].IEEE Workshop on Automatic Identification AdvancedTechnologies, Alghero, Italy, June, 2007: 63-68.