Distinctive Image Features from Scale-Invariant Keypoints
Citations
539 citations
537 citations
Cites background or methods from "Distinctive Image Features from Sca..."
...The non-linear SIFT [23] feature and linear regressors are applied....
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...HoG [14], SIFT [23], LBP [26], SURF [4], BRIEF [9]) exhibit different characteristics in accuracy and speed....
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537 citations
Cites background from "Distinctive Image Features from Sca..."
...It is well known [15,39] that rendered views can be robustly matched against real imagery using classical descriptors like SIFT [22]....
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535 citations
532 citations
Cites methods from "Distinctive Image Features from Sca..."
...Following the methodology of the multi-feature [13] extension of TextonBoost [24], the dense features, namely texton [18], SIFT [17], local quantized ternary patters [12] and self-similarity features [21], are extracted for each pixel in each image in a pyramidα ∗ I....
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...Following the methodology of the multi-feature [ 13] extension of TextonBoost [ 24], the dense features, namely texton [18], SIFT [17], local quantized ternary patters [ 12] and self-similarity features [ 21], are extracted for each pixel in each image in a pyramid α ∗ I....
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References
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