Object recognition from local scale-invariant features
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209 citations
Cites background from "Object recognition from local scale..."
...Furthermore, the possibility to involve Cloud services, such as social networks, for sharing the cultural experience can be a strong driving factor to approach young people to the cultural world....
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207 citations
Cites background from "Object recognition from local scale..."
...It may be interesting to explore similar alignment scheme as the extremely successful SIFT [14] feature....
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...This experiment suggests a similar fact that the SIFT with orientation alignment does not necessarily produce better result than densely extracted SIFT without alignment for object detection task....
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...In the future, we will investigate more about the CIHONV for image retieval in which the SIFT descriptor has gained big sucess....
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...The SIFT feature [14] has become one of the most popular features for object recognition and image retrieval/matching due to its scale/rotation invariant property....
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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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