Distinctive Image Features from Scale-Invariant Keypoints
Citations
474 citations
Cites background or methods from "Distinctive Image Features from Sca..."
...The difference of Gaussians (DoG) (Lowe et al. 1999; Lowe 2004) filter can be used to approximate the LoG filter, and greatly speeds up the computations....
[...]
...Lin et al. (2011) used SIFT (Lowe 2004) to pre-compute matches and then jointly estimating the matching and the smoothly varying affine fields for better stitching performance....
[...]
...…into several parts and the local information is pooled in each part, then concatenate them by using pooling methods, such as rectangular gridding (Lowe 2004), polar gridding (Mikolajczyk and Schmid 2005), Gaussian sampling (Tola et al. 2010), and others (Rublee et al. 2011); the joint feature…...
[...]
...The well-known SIFT (Lowe2004), SURF (Bay et al. 2008), andORB (Rublee et al. 2011) algorithms are optionally used to detect and describe features, and RANSAC (Fischler and Bolles 1981) is subsequently used for robust matching....
[...]
...Gradient statistic methods are often used to form float type descriptors such as the histogram of oriented gradients (HOG) (Dalal and Triggs 2005) as introduced in SIFT (Lowe et al. 1999; Lowe 2004) and its improvement versions (Bay et al....
[...]
471 citations
471 citations
470 citations
468 citations
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....
[...]
...Earlier work by the author (Lowe, 1999) extended the local feature approach to achieve scale invariance....
[...]
...More details on applications of these features to recognition are available in other pape rs (Lowe, 1999; Lowe, 2001; Se, Lowe and Little, 2002)....
[...]
...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…...
[...]
...More details on applications of these features to recognition are available in other papers (Lowe, 1999, 2001; Se et al., 2002)....
[...]
15,558 citations
14,282 citations
"Distinctive Image Features from Sca..." refers background in this paper
...A more general solution would be to solve for the fundamental matrix (Luong and Faugeras, 1996; Hartley and Zisserman, 2000)....
[...]
13,993 citations
3,422 citations