SIFT

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.


References in zbMATH (referenced in 591 articles )

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  1. Cristinacce, David; Cootes, Tim: Automatic feature localisation with constrained local models (2008)
  2. Deselaers, Thomas; Keysers, Daniel; Ney, Hermann: Features for image retrieval: An experimental comparison (2008) ioport
  3. Faubel, Christian; Schöner, Gregor: Learning to recognize objects on the fly: a neurally based dynamic field approach (2008) ioport
  4. Feng, Jianjiang: Combining minutiae descriptors for fingerprint matching (2008)
  5. Ferencz, Andras; Learned-Miller, Erik G.; Malik, Jitendra: Learning to locate informative features for visual identification (2008) ioport
  6. Fink, Michael; Ullman, Shimon: From Aardvark to Zorro: A benchmark for mammal image classification (2008) ioport
  7. Goshen, Liran; Shimshoni, Ilan: Guided sampling via weak motion models and outlier sample generation for epipolar geometry estimation (2008) ioport
  8. Holub, Alex D.; Welling, Max; Perona, Pietro: Hybrid generative-discriminative visual categorization (2008) ioport
  9. Huang, Chun-Rong; Chen, Chu-Song; Chung, Pau-Choo: Contrast context histogram. An efficient discriminating local descriptor for object recognition and image matching (2008)
  10. Kim, Sungho; Kweon, In So: Scalable representation for 3D object recognition using feature sharing and view clustering (2008)
  11. Kim, Sungho; Yoon, Kuk-Jin; Kweon, In So: Object recognition using a generalized robust invariant feature and Gestalt’s law of proximity and similarity (2008)
  12. Komodakis, Nikos; Tziritas, Georgios: Real-time exploration and photorealistic reconstruction of large natural environments (2008) ioport
  13. Larios, Natalia; Deng, Hongli; Zhang, Wei; Sarpola, Matt; Yuen, Jenny; Paasch, Robert; Moldenke, Andrew; Lytle, David A.; Correa, Salvador Ruiz; Mortensen, Eric N.; Shapiro, Linda G.; Dietterich, Thomas G.: Automated insect identification through concatenated histograms of local appearance features: Feature vector generation and region detection for deformable objects (2008) ioport
  14. Leibe, Bastian; Leonardis, Aleš; Schiele, Bernt: Robust object detection with interleaved categorization and segmentation (2008) ioport
  15. Lindstaedt, Stefanie; Mörzinger, Roland; Sorschag, Robert; Pammer, Viktoria; Thallinger, Georg: Automatic image annotation using visual content and folksonomies (2008) ioport
  16. Li, Qi; Ye, Jieping; Kambhamettu, Chandra: Interest point detection using imbalance oriented selection (2008)
  17. Li, Yi; Hua, Wei; Guo, Chengen; Gu, Haisong; Kang, Jinman; Chen, Xiangrong: Waterfront surveillance and trackability (2008) ioport
  18. Luan, Hongxia; Qi, Feihu; Xue, Zhong; Chen, Liya; Shen, Dinggang: Multimodality image registration by maximization of quantitative-qualitative measure of mutual information (2008)
  19. MacLean, W. James; Tsotsos, John K.: Fast pattern recognition using normalized grey-scale correlation in a pyramid image representation (2008) ioport
  20. McInroy, John E.; Qi, Zhen: A novel pose estimation algorithm based on points to regions correspondence (2008) ioport

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