Distinctive Image Features from Scale-Invariant Keypoints
Citations
102 citations
Cites background from "Distinctive Image Features from Sca..."
...Mikolajczyk and Schmid [13] did a comparison of different descriptors and found SIFT [9] or SIFT-like descriptors to be the best for matching under different invariances....
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102 citations
Cites methods from "Distinctive Image Features from Sca..."
...This process is carried out using the scale invariant feature transform (SIFT) algorithm (Lowe, 2004)....
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...The procedure applied in this work comprises the following steps: (i) the scale invariant feature transform (SIFT) algorithm (Lowe, 2004) is used for key-point extraction; (ii) the...
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...The procedure applied in this work comprises the following steps: (i) the scale invariant feature transform (SIFT) algorithm (Lowe, 2004) is used for key-point extraction; (ii) the open-source SfM software package Bundler (Snavely et al., 2006, 2007) generates a sparse 3D point cloud with…...
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102 citations
Cites background or methods from "Distinctive Image Features from Sca..."
...Since this is computationally costly, a simple approximation could be used that only requires comparing the maximum value (I1) with the second largest value (I2) [21,14]....
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...Local descriptors have been widely used for point matching both in 2-D intensity images [21,22] and in 3-D range data (i....
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102 citations
References
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