Object recognition from local scale-invariant features
Citations
134 citations
Cites methods from "Object recognition from local scale..."
...In order to do this we use the Scale Invariant Feature Transform (SIFT) algorithm (Lowe, 1999)....
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134 citations
Cites methods from "Object recognition from local scale..."
...It can extend any method that provides feature correspondences between pairs of images....
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134 citations
134 citations
133 citations
Additional excerpts
...The LOMo [34] combined different types of complimentary features, such as facial landmarks, LBP, SIFT, and geometry features, for expression recognition....
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...Traditional image-based methods for facial expression recognition employed hand-craft features, like LBP [29], BoW [35], HoG [5], or SIFT [26], and they have shown quite good results on several databases [27, 46, 28, 40, 11]....
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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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1,574 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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