Object recognition from local scale-invariant features
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Cites methods from "Object recognition from local scale..."
...We therefore use four different types of circular region detector to give a complete coverage of the image: (i) Kadir & Brady saliency operator [13]; (ii) Multi-scale Harris detector [17]; (iii) Difference of Gaussians, as used by Lowe [16] and (iv) Edge based operator, detailed below....
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Cites background from "Object recognition from local scale..."
...HOG can be considered as an important improvement of the scale-invariant feature transform [33, 34] and shape contexts [35] of its time....
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801Â citations
Cites background from "Object recognition from local scale..."
...These networks now robustly outperform the previous state of the art, which consisted in hand-engineered visual features (e.g., Lowe 1999) forming the input to shallow machine learning classifiers such as support vector machines....
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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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1,574Â 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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