Add to ORKGInternational audienceThis paper presents a new method for fitting a digital line to a given set of points in a 2D image in the presence of noise by maximizing the number of inliers, namely the consensus set. By using a digital line model instead of a continuous one, we show that we can generate all possible consensus sets for digital line fitting. We present a deterministic algorithm that efficiently searches the optimal solution with the time complexity O(N2 logN) and the space complexity O(N) where N is the number of points
International audienceWe present a method for fitting a digital line/plane from a given set of 2D/3D...
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 article presents a new method for fitting a digital line or plane to a gi...
International audienceThis paper presents a new method for fitting a digital line to a given set of ...
ABSTRACT: This paper presents a new method for fitting a digital line or plane to a given set of poi...
International audienceGiven a set of discrete points in a 2D digital image containing noise, we form...
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 4-connected digital circles to a give...
Abstract. This paper presents a method for fitting Andres circles as well as 4-connected digital cir...
International audienceAn annulus is defined as a set of points contained between two circles. This p...
International audienceThis paper exploits the problem of fitting special forms of annuli that corres...
International audienceThis paper presents a method for fitting a nD fixed width spherical shell to a...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
International audienceWe present a method for fitting a digital line/plane from a given set of 2D/3D...
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 article presents a new method for fitting a digital line or plane to a gi...
International audienceThis paper presents a new method for fitting a digital line to a given set of ...
ABSTRACT: This paper presents a new method for fitting a digital line or plane to a given set of poi...
International audienceGiven a set of discrete points in a 2D digital image containing noise, we form...
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 4-connected digital circles to a give...
Abstract. This paper presents a method for fitting Andres circles as well as 4-connected digital cir...
International audienceAn annulus is defined as a set of points contained between two circles. This p...
International audienceThis paper exploits the problem of fitting special forms of annuli that corres...
International audienceThis paper presents a method for fitting a nD fixed width spherical shell to a...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
International audienceWe present a method for fitting a digital line/plane from a given set of 2D/3D...
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...