參考文獻 |
[1] J.Canny, “A computational approach to edge detection.,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 8, no. 6, pp. 679–698, 1986.
[2] C.Harris andM.Stephens, “A Combined Corner and Edge Detector,” Procedings Alvey Vis. Conf. 1988, p. 23.1-23.6, 1988.
[3] S. M.Smith andJ. M.Brady, “SUSAN---A New Approach to Low Level Image Processing,” Int. J. Comput. Vis., vol. 23, no. 1, pp. 45–78, 1997.
[4] E.Rosten andT.Drummond, “Machine learning for high-speed corner detection,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 430–443.
[5] D. G.Lowe, “Distinctive image features from scale invariant keypoints,” Int. J. Comput. Vis., vol. 60, no. 2, pp. 91–11020042, 2004.
[6] H.Bay, T.Tuytelaars, andL.VanGool, “SURF: Speeded up robust features,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 404–417.
[7] A. K.Jain, J. E.Lee, R.Jin, andN.Gregg, “Content-based image retrieval: An application to tattoo images,” in Proceedings - International Conference on Image Processing, ICIP, 2009, pp. 2745–2748.
[8] A.Kuffner andA.Robles-Kelly, “Image feature evaluation for contents-based image retrieval,” Proc. HCSNet Work. …, vol. 56, no. VisHCI, pp. 2–6, 2006.
[9] S.-W.Ha andY.-H.Moon, “Multiple Object Tracking Using SIFT Features and Location Matching,” Int. J. Smart Home, vol. 5, no. 4, 2011.
[10] H.Zhou, Y.Yuan, andC.Shi, “Object tracking using SIFT features and mean shift,” Comput. Vis. Image Underst., vol. 113, no. 3, pp. 345–352, Mar.2009.
[11] P.Azad, T.Asfour, andR.Dillmann, “Combining Harris interest points and the SIFT descriptor for fast scale-invariant object recognition,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, 2009, pp. 4275–4280.
[12] G.Flitton, T.Breckon, andN.Megherbi Bouallagu, “Object Recognition using 3D SIFT in Complex CT Volumes,” in Procedings of the British Machine Vision Conference 2010, 2010, p. 11.1-11.12.
[13] Liu Jinxia andQiu Yuehong, “Application of SIFT feature extraction algorithm on the image registration,” in IEEE 2011 10th International Conference on Electronic Measurement & Instruments, 2011, pp. 177–180.
[14] Yan Ke andR.Sukthankar, “PCA-SIFT: a more distinctive representation for local image descriptors,” in Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004, vol. 2, pp. 506–513.
[15] K.Mikolajczyk, K.Mikolajczyk, C.Schmid, andC.Schmid, “A performance evaluation of local descriptors,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 10, pp. 1615–1630, 2005.
[16] M. (Eds. .Awad, Ali Ismail, Hassaballah, Image Feature Detectors and Descriptors: Foundations and Applications. .
[17] T.Lindeberg, “Scale-space theory: A basic tool for analysing structures at diierent s c a l e s,” J. Appl. Stat., vol. 21, no. 2, pp. 225–270, 1994.
[18] K.Mikolajczyk andC.Schmid, “Scale & affine invariant interest point detectors,” Int. J. Comput. Vis., vol. 60, no. 1, pp. 63–86, 2004.
[19] V.Bonato, E.Marques, andG.Constantinides, “A Parallel Hardware Architecture for Scale and Rotation Invariant Feature Detection,” IEEE Trans. Circuits Syst. Video Technol., vol. 18, no. 12, pp. 1703–1712, 2008.
[20] “CORDIC.” [Online]. Available: https://en.wikibooks.org/wiki/Digital_Circuits/CORDIC.
[21] F. C.Huang, S. Y.Huang, J. W.Ker, andY. C.Chen, “High-performance SIFT hardware accelerator for real-time image feature extraction,” IEEE Trans. Circuits Syst. Video Technol., vol. 22, no. 3, pp. 340–351, 2012.
[22] L.Chiu andT.Chang, “Fast sift design for real-time visual feature extraction,” Image Process. IEEE …, vol. 22, no. 8, pp. 3158–67, 2013.
[23] J.Yum, C. H.Lee, J. S.Kim, andH. J.Lee, “A novel hardware architecture with reduced internal memory for real-time extraction of SIFT in an HD video,” IEEE Trans. Circuits Syst. Video Technol., vol. 26, no. 10, pp. 1943–1954, 2016. |