Description: In the fields of computer vision and image analysis, the Harris-affine region detector belongs to the category of feature detection. Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or interest points so to make correspondences between images, recognize textures, categorize objects or build panoramas. Platform: |
Size: 2048 |
Author:aisso831 |
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Description: 仿射不变Harris, Laplacian, det(Hessian) and Ridge 特征点检测
参考文献：An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.-Matlab code for detecting Affine spatial interest points. Includes Harris, Laplacian, det(Hessian) and Ridge interest point operators in combination with spatial scale selection based on the extrema of scale-normalized Laplacian and affine adaptation basen on second-moment matrix. Scale and shape adaptation are optional and disjoint.
Zip archive: affintpoints.zip
Ref: An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.
What is in the package:
1) ineterst point detection of different kinds (Harris, Laplace, det(H), Ridge)
2) scale, shape and position adaptation procedure
3) demo examples and a script for batch-mode computation and saving of the results
what is not in the package:
- no rotation estimation
- no region descriptor computation Platform: |
Size: 901120 |
Author:灵台斜月 |
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