Fast explicit diffusion for accelerated features in nonlinear scale spaces
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Cites methods from "Fast explicit diffusion for acceler..."
...On the other hand keyframe-based approaches [3] estimate the map using only selected frames, called keyframes, allowing to perform more costly but accurate bundle adjustment optimizations, as mapping is not tied to frame-rate....
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506 citations
Cites background from "Fast explicit diffusion for acceler..."
...more robust, and accelerated for real-time detection [3]....
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474 citations
Cites methods from "Fast explicit diffusion for acceler..."
...An accelerated version called AKAZA (Alcantarilla and Solutions 2011) is implemented by embedding the fast explicit diffusion in a pyramidal framework to dramatically speedup feature detection in nonlinear scale spaces....
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339 citations
Cites methods from "Fast explicit diffusion for acceler..."
...In this article, SIFT (blobs) [13], SURF (blobs) [14], KAZE (blobs) [15], AKAZE (blobs) [16], ORB (corners) [17], and BRISK (corners) [18] algorithms are compared for image matching and registration....
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...presented Accelerated-KAZE (AKAZE) algorithm in 2013 [16], which is also based on nonlinear diffusion filtering like KAZE but its non-linear scale spaces are constructed using a computationally efficient framework called Fast Explicit Diffusion (FED)....
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References
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"Fast explicit diffusion for acceler..." refers methods in this paper
...The best known multiscale feature detection and description approaches are SIFT [11] and SURF [3], SURF being less computationally demanding than SIFT....
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...We consider a nearest neighbor distance ratio matching criteria [11] using a distance ratio value between descriptor distances of 0....
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13,011 citations
"Fast explicit diffusion for acceler..." refers methods in this paper
...We consider the OpenCV implementations of BRISK, ORB, SIFT and SURF since these implementations are highly optimized in terms of speed....
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...This method increases repeatability and distinctiveness with respect to SIFT and SURF thanks to the use of nonlinear diffusion filtering....
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...With the proliferation of camera-enabled mobile devices that have limited computational resources, new features have appeared that aim to reduce computational complexity while keeping up to the performance of methods such as SIFT and SURF....
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...Both approaches make use of the Gaussian scale space, either by constructing the Gaussian scale space in a pyramidal framework such as in SIFT, or by approximating Gaussian derivatives through box filters as in SURF....
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...The best known multiscale feature detection and description approaches are SIFT [11] and SURF [3], SURF being less computationally demanding than SIFT....
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12,560 citations
"Fast explicit diffusion for acceler..." refers methods in this paper
...We consider one of the two conductivity functions introduced in the seminal work of Perona and Malik [14], although other conductivity functions are also possible....
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...We consider one of the two conductivity functions introduced in the seminal work of Perona and Malik [13], although other conductivity functions are also possible....
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8,702 citations
"Fast explicit diffusion for acceler..." refers methods in this paper
...ORB and BRISK features are much faster to compute than SIFT and SURF, while showing comparable performance mainly for small image transformations....
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...ORB [15] and BRISK [10] speed-up feature detection and description by combining modifications of the FAST corner detector [14] and binary descriptors based on BRIEF [4] with scale and rotation invariance....
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...Binary descriptors (such as those used in BRIEF, ORB and BRISK) have enjoyed widespread use lately since they can be computed and matched very efficiently....
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...ORB [16] and BRISK [11] speed-up feature detection and description by combining modifications of the FAST corner detector [15] and binary descriptors based on BRIEF [5] with scale and rotation invariance....
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...For BRISK, ORB, SURF and SIFT we used their OpenCV implementations, while for KAZE we use the original library which is also OpenCV-based1....
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