Object recognition from local scale-invariant features
Citations
1,198Â citations
1,181Â citations
Cites methods from "Object recognition from local scale..."
...At each of the keypoints, the Scale Invariant Feature Transform (SIFT) [80] was utilized to form a feature vector, which was used to train a SVM Classifier....
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1,165Â citations
Cites background from "Object recognition from local scale..."
...Rotation invariants have been presented by [10], rotation and scale invariants by [8] and affine invariants by [13]....
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...Lowe [8] extends these ideas to scale invariance by maximizing the output of difference-of-Gaussian filters in scale-space....
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...Lindeberg [7] searches for 3D maxima of the Laplacian, as well as the magnitude of the gradient and Lowe [8] uses the difference-of-Gaussian....
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1,159Â citations
Cites background or methods from "Object recognition from local scale..."
...It is widely used by many researchers, hence the original conference paper (ICCV 1999) [79] has about 1,030 cites and the IJCV version [78] which appeared in 2004 has 2,070 cites(12)....
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..., SIFT [79]), subspace methods [128] or classifier [130]....
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1,144Â citations
References
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1,756Â citations
"Object recognition from local scale..." refers background or methods in this paper
...This allows for the use of more distinctive image descriptors than the rotation-invariant ones used by Schmid and Mohr, and the descriptor is further modified to improve its stability to changes in affine projection and illumination....
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...For the object recognition problem, Schmid & Mohr [19] also used the Harris corner detector to identify interest points, and then created a local image descriptor at each interest point from an orientation-invariant vector of derivative-of-Gaussian image measurements....
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..., Schmid & Mohr [19]) has shown that efficient recognition can often be achieved by using local image descriptors sampled at a large number of repeatable locations....
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...However, recent research on the use of dense local features (e.g., Schmid & Mohr [19]) has shown that efficient recognition can often be achieved by using local image descriptors sampled at a large number of repeatable locations....
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1,574Â citations
"Object recognition from local scale..." refers methods in this paper
...[23] used the Harris corner detector to identify feature locations for epipolar alignment of images taken from differing viewpoints....
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