Distinctive Image Features from Scale-Invariant Keypoints
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606 citations
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...Based on advances in image feature recognition, such as the scale invariant feature transform (SIFT) (Lowe, 2004), characteristic image objects can be automatically at ARIZONA STATE UNIV on October 24, 2014ppg.sagepub.comDownloaded from detected, described, and matched between photographs....
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...In the comparison presented in Proença et al. [50], SHOT outperforms Spin Images and dense SIFT for the task of object category recognition on the RGB-D Object dataset [51]....
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...More specifically, as proposed in [35] we compute the ratio between the nearest neighbor and the second best: if the ratio is below a threshold a correspondence is established between the scene feature and its closest model feature....
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...This scheme has been recently extended to a hybrid scheme, by computing a SIFT descriptor out of the resulting depth image [23]....
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...By analyzing SIFT [35], arguably the most successful and widespread proposal among 2D descriptors, we have singled out the...
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...By analyzing SIFT [35], arguably the most successful and widespread proposal among 2D descriptors, we have singled out the major reasons behind its effectiveness....
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References
16,989 citations
"Distinctive Image Features from Sca..." refers background or methods in this paper
...The initial implementation of this approach (Lowe, 1999) simply located keypoints at the location and scale of the central sample point....
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...Earlier work by the author (Lowe, 1999) extended the local feature approach to achieve scale invariance....
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...More details on applications of these features to recognition are available in other pape rs (Lowe, 1999; Lowe, 2001; Se, Lowe and Little, 2002)....
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...To efficiently detect stable keypoint locations in scale space, we have proposed (Lowe, 1999) using scalespace extrema in the difference-of-Gaussian function convolved with the image, D(x, y, σ ), which can be computed from the difference of two nearby scales separated by a constant multiplicative…...
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...More details on applications of these features to recognition are available in other papers (Lowe, 1999, 2001; Se et al., 2002)....
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...A more general solution would be to solve for the fundamental matrix (Luong and Faugeras, 1996; Hartley and Zisserman, 2000)....
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