Fast radial symmetry for detecting points of interest
Citations
1,514 citations
Cites methods from "Fast radial symmetry for detecting ..."
...A study on the comparative complexity of symmetry operators was conducted by Loy and Zelinsky [93]....
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...Rather than determining the contribution each pixel makes to the symmetry of pixels in its neighborhood, Loy and Zelinsky [93] propose the Fast Radial Symmetry Transform by considering the contribution of a local neighborhood to a central pixel....
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...Matsumoto and Zelinsky [98] use 2D image templates to represent facial features located on a 3D facial model....
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1,144 citations
620 citations
Cites methods from "Fast radial symmetry for detecting ..."
...HOG is also used by Creusen et al. [65], but they augment the HOG feature vectors with color information to make them even more robust....
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567 citations
430 citations
Cites background from "Fast radial symmetry for detecting ..."
...[107] G. Loy and A. Zelinsky, “Fast radial symmetry for detecting points of interest,” IEEE Trans....
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...Fortunately, Loy and Zelinsky [107] have proposed a FRST to significantly decrease the time cost such that it is well suitable for real-time vision applications....
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...other in the clumps based on concave point detection and radialsymmetry-based voting [107]....
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References
6,693 citations
"Fast radial symmetry for detecting ..." refers background in this paper
...Kimme et al. [12] noted that on a circle boundary the edge orientation points toward oraway from thecenter of the circle, and used this to refine Duda and Hart’s technique and reduce the density of points mapped into the parameter space....
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...Duda and Hart [8] showed how the Hough transform could be adapted to detect circles with an appropriate choice of parameter space....
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1,186 citations
"Fast radial symmetry for detecting ..." refers background in this paper
...Each of the transforms was implemented in Matlab 5.3 (Kovesi’s symmetry from phase was implemented using Kovesi’s own Matlab code [15]) and the output computed....
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...Comparing the results from this transform with those of Reisfeld’s generalized dark symmetry, we see that (as noted by Kovesi [13]) the latter is essentially a combined measure of the underlying symmetry and the contrast....
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...Kovesi [13] presents a technique for determining local symmetry and asymmetry across an image from phase information....
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...Kovesi’s symmetry from phase [13], ....
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...Minor and Skalansky’s implementation of the Circular Hough transform [19], Kovesi’s symmetry from phase was calculated for six filter orientations and four scales ranging from 2 to 24 pixels in diameter....
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624 citations
"Fast radial symmetry for detecting ..." refers methods in this paper
...[12] noted that on a circle boundary the edge orientation points toward oraway from thecenter of the circle, and used this to refine Duda and Hart’s technique and reduce the density of points mapped into the parameter space....
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...The approach was inspired by the results of the generalized symmetry transform [24], [9], [25], although the final method bares more similarity to the work of Sela and Levine [28] and the circular Hough transform [12], [19]....
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...Unlike previous techniques that have used this approach [12], [19], [28], it does not require the gradient to be quantized into angular bins, the contribution of every orientation is computed in a single pass over the image....
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585 citations
"Fast radial symmetry for detecting ..." refers background in this paper
...Stark and Pritevera [21], [22] compared the responses of a number of artificial region of interest detectors, including Reisfeld’s generalized symmetry transform [24], with regions of interest detected by human subjects....
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434 citations
"Fast radial symmetry for detecting ..." refers background or methods in this paper
...This transform highlights regions of high contrast and local radial symmetry and has been applied to detecting facial features [24], [9], [25]....
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...The traditional approach to local symmetry detection [6], [24], [28] is to calculate the symmetry apparent in a local neighborhood about each point....
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...[24] or requiring multiple calculations for different gradient orientations, as do many other methods [6], [13], [19], [28]....
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...Stark and Pritevera [21], [22] compared the responses of a number of artificial region of interest detectors, including Reisfeld’s generalized symmetry transform [24], with regions of interest detected by human subjects....
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...[24], and the magnitude of the gradient is also taken into consideration....
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