这里.pdf

ijcv04.pdf
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🔗 Source: cs.ubc.ca
📊 Size: 444 KB
📄 Pages: 28 pages
⬇️ Downloads: 147

Summary

The features are invariant to image scale and rotation, and provide robust matching across a range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The approach, named Scale Invariant Feature Transform (SIFT), generates large numbers of features that densely cover the image, allowing for object recognition by matching individual features to a database of features from known objects. The recognition process involves matching features using a fast nearest-neighbor algorithm, identifying clusters belonging to a single object using a Hough transform, and verifying the matches through least-squares solution for consistent pose parameters.

Description

The features are invariant to image scale and rotation, and provide robust matching across a range of affine distortion, change in 3D viewpoint, addition of...

Technical Information

  • File Format: PDF
  • File Size: 444 KB
  • Pages: 28
  • Language: EN
  • Total Downloads: 147
  • Last Updated: 2 hours ago

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