Distinctive Image Features from Scale-Invariant Keypoints View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-11

AUTHORS

David G. Lowe

ABSTRACT

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. More... »

PAGES

91-110

References to SciGraph publications

  • 1993-12. Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2000. Unsupervised Learning of Models for Recognition in COMPUTER VISION - ECCV 2000
  • 2002. Phase-Based Local Features in COMPUTER VISION — ECCV 2002
  • 1997-11. Recognition Using Region Correspondences in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 1984-08. The structure of images in BIOLOGICAL CYBERNETICS
  • 2000-11. Probabilistic Models of Appearance for 3-D Object Recognition in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2002. An Affine Invariant Interest Point Detector in COMPUTER VISION — ECCV 2002
  • 2002. Multi-view Matching for Unordered Image Sets, or “How Do I Organize My Holiday Snaps?” in COMPUTER VISION — ECCV 2002
  • 1996-01. The fundamental matrix: Theory, algorithms, and stability analysis in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2000-01. Recognition without Correspondence using Multidimensional Receptive Field Histograms in INTERNATIONAL JOURNAL OF COMPUTER VISION
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  • Method And System For Image Analysis
  • Predicting A Light Probe For An Outdoor Image
  • Alignment Apparatus, Alignment Method, And Alignment Computer Program
  • Image Search Method And Device
  • Keypoint Detection With Trackability Measurements
  • Method And System For Matching An Image Using Normalized Feature Vectors
  • Image-Based Character Recognition
  • Method For Extracting Features From A Flow Of Digital Video Frames, And Corresponding System And Computer Program Product
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