Object recognition from local scale-invariant features
Citations
153 citations
153 citations
Cites background from "Object recognition from local scale..."
...The second descriptor employs local histograms of oriented gradients [37, 38] and can be seen as an extension of the EHD descriptor....
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152 citations
Cites methods from "Object recognition from local scale..."
...Finally, the very well-known SIFT (Scale Invariant Feature Transforms) [69] features are extracted in [19, 57, 61, 42, 47, 65, 59]....
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152 citations
Cites methods from "Object recognition from local scale..."
...Finally, the cluster membership function obtained in training is applied to the descriptors to form an empirical distribution on cluster membership....
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152 citations
References
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"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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1,574 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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