Abstract. This paper presents a method for fitting Andres circles as well as 4-connected digital circles to a given set of points in 2D images in the presence of noise by maximizing the number of inliers, namely the optimal consensus set, while fixing the thickness. Our approach based on one or several parameter spaces has a O(n3logn) time complexity, O(n) space complexity, n being the number of points, which is lower than previous known methods while still guaranteeing optimal solution(s)
We present a new algorithm for labeling points with circles of equal size. Our algorithm tries to ma...
Many computer vision methods use consensus maximization to relate measurements containing outliers w...
A popular approach to detect outliers in a data set is to find the largest consensus set, that is to...
International audienceThis paper presents a method for fitting 4-connected digital circles to a give...
International audienceThis paper exploits the problem of fitting special forms of annuli that corres...
International audienceThis article presents a new method for fitting a digital line or plane to a gi...
International audienceGiven a set of discrete points in a 2D digital image containing noise, we form...
International audienceThis paper presents a new method for fitting a digital line to a given set of ...
International audienceAn annulus is defined as a set of points contained between two circles. This p...
International audienceThis paper presents a method for fitting a digital plane to a given set of poi...
International audienceThis paper presents a method for fitting a nD fixed width spherical shell to a...
ABSTRACT: This paper presents a new method for fitting a digital line or plane to a given set of poi...
We show that converting Apollonius and Laguerre diagrams from an already built Delaunay triangulatio...
International audienceWe show that converting Apollonius and Laguerre diagrams from an already built...
We present a new algorithm for labeling points with circles of equal size. Our algorithm tries to ma...
Many computer vision methods use consensus maximization to relate measurements containing outliers w...
A popular approach to detect outliers in a data set is to find the largest consensus set, that is to...
International audienceThis paper presents a method for fitting 4-connected digital circles to a give...
International audienceThis paper exploits the problem of fitting special forms of annuli that corres...
International audienceThis article presents a new method for fitting a digital line or plane to a gi...
International audienceGiven a set of discrete points in a 2D digital image containing noise, we form...
International audienceThis paper presents a new method for fitting a digital line to a given set of ...
International audienceAn annulus is defined as a set of points contained between two circles. This p...
International audienceThis paper presents a method for fitting a digital plane to a given set of poi...
International audienceThis paper presents a method for fitting a nD fixed width spherical shell to a...
ABSTRACT: This paper presents a new method for fitting a digital line or plane to a given set of poi...
We show that converting Apollonius and Laguerre diagrams from an already built Delaunay triangulatio...
International audienceWe show that converting Apollonius and Laguerre diagrams from an already built...
We present a new algorithm for labeling points with circles of equal size. Our algorithm tries to ma...
Many computer vision methods use consensus maximization to relate measurements containing outliers w...
A popular approach to detect outliers in a data set is to find the largest consensus set, that is to...