SIFT Keypoint Detector. Distinctive Image Features from Scale-Invariant Keypoints. This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a substantial range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images. This paper also describes an approach to using these features for object recognition. The recognition proceeds by matching individual features to a database of features from known objects using a fast nearest-neighbor algorithm, followed by a Hough transform to identify clusters belonging to a single object, and finally performing verification through least-squares solution for consistent pose parameters. This approach to recognition can robustly identify objects among clutter and occlusion while achieving near real-time performance.

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  1. Hnatushenko, Volodymyr; Kogut, Peter; Uvarov, Mykola: Variational approach for rigid co-registration of optical/SAR satellite images in agricultural areas (2022)
  2. Ahmed, Mirza Tahir; Ziauddin, Sheikh; Marshall, Joshua A.; Greenspan, Michael: Point cloud registration using virtual interest points from Macaulay’s resultant of quadric surfaces (2021)
  3. Arseev, S. P.; Mestetskiy, L. M.: Character skeleton as a pen trace model for recognition from reconstructed trace (2021)
  4. Casillas-Perez, David; Pizarro, Daniel; Fuentes-Jimenez, David; Mazo, Manuel; Bartoli, Adrien: The isowarp: the template-based visual geometry of isometric surfaces (2021)
  5. Duran, Joan; Navarro, Julia; Buades, Antoni: Variational densification and refinement of registration maps (2021)
  6. Frigau, Luca; Conversano, Claudio; Mola, Francesco: Consistent validation of gray-level thresholding image segmentation algorithms based on machine learning classifiers (2021)
  7. Furini, Fabio; Ljubić, Ivana; San Segundo, Pablo; Zhao, Yanlu: A branch-and-cut algorithm for the edge interdiction clique problem (2021)
  8. Li, Yan-Ran; Chan, Raymond H. F.; Shen, Lixin; Zhuang, Xiaosheng: Regularization with multilevel non-stationary tight framelets for image restoration (2021)
  9. Ma, Jiayi; Jiang, Xingyu; Fan, Aoxiang; Jiang, Junjun; Yan, Junchi: Image matching from handcrafted to deep features: a survey (2021)
  10. Park, Seonho; Rysz, Maciej; Fair, Kaitlin L.; Pardalos, Panos M.: Synthetic-aperture radar image based positioning in GPS-denied environments using deep cosine similarity neural networks (2021)
  11. Tiwaskar, Manoj; Garg, Yash; Li, Xinsheng; Candan, K. Selçuk; Sapino, Maria Luisa: Selego: robust variate selection for accurate time series forecasting (2021)
  12. Zhang, Qi; Li, Hongdong; Wang, Xue; Wang, Qing: 3D scene reconstruction with an un-calibrated light field camera (2021)
  13. Azam, Muhammad; Alghabashi, Basim; Bouguila, Nizar: Multivariate bounded asymmetric Gaussian mixture model (2020)
  14. Bassetti, Federico; Gualandi, Stefano; Veneroni, Marco: On the computation of Kantorovich-Wasserstein distances between two-dimensional histograms by uncapacitated minimum cost flows (2020)
  15. Cheng, Yawen; Yin, Hang; Ye, Qiaolin; Huang, Peng; Fu, Liyong; Yang, Zhangjing; Tian, Yuan: Improved multi-view GEPSVM via inter-view difference maximization and intra-view agreement minimization (2020)
  16. Daghyani, Masoud; Zamzami, Nuha; Bouguila, Nizar: Toward an efficient computation of log-likelihood functions in statistical inference: overdispersed count data clustering (2020)
  17. Díaz Martínez, Diego H.; Mémoli, Facundo; Mio, Washington: The shape of data and probability measures (2020)
  18. Escudero-Viñolo, Marcos; Bescos, Jesus: Squeezing the DCT to fight camouflage (2020)
  19. Gallardo, Mathias; Pizarro, Daniel; Collins, Toby; Bartoli, Adrien: Shape-from-template with curves (2020)
  20. Kovač, Ivan; Marák, Pavol: Openfinger: towards a combination of discriminative power of fingerprints and finger vein patterns in multimodal biometric system (2020)

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