International audienceGiven a set of discrete points in a 2D digital image containing noise, we formulate our problem as robust digital line fitting. More precisely, we seek the maximum subset whose points are included in a digital line, called the optimal consensus. The paper presents an efficient method for exactly computing the optimal consensus by using the topological sweep, which provides us with the quadratic time complexity and the linear space complexity with respect to the number of input points
Maximum consensus is one of the most popular criteria for robust estimation in computer vision. Desp...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
International audienceThis paper presents a method for fitting a nD fixed width spherical shell to a...
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 audienceThis article presents a new method for fitting a digital line or plane to a gi...
ABSTRACT: This paper presents a new method for fitting a digital line or plane to a given set of poi...
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 audienceThis paper exploits the problem of fitting special forms of annuli that corres...
International audienceAn annulus is defined as a set of points contained between two circles. This p...
Maximum consensus is fundamentally important in computer vision as a criterion for robust estimation...
Maximum consensus estimation plays a critically important role in computer vision. Currently, the mo...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
Maximum consensus is one of the most popular criteria for robust estimation in computer vision. Desp...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
International audienceThis paper presents a method for fitting a nD fixed width spherical shell to a...
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 audienceThis article presents a new method for fitting a digital line or plane to a gi...
ABSTRACT: This paper presents a new method for fitting a digital line or plane to a given set of poi...
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 audienceThis paper exploits the problem of fitting special forms of annuli that corres...
International audienceAn annulus is defined as a set of points contained between two circles. This p...
Maximum consensus is fundamentally important in computer vision as a criterion for robust estimation...
Maximum consensus estimation plays a critically important role in computer vision. Currently, the mo...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
Maximum consensus is one of the most popular criteria for robust estimation in computer vision. Desp...
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust ...
International audienceThis paper presents a method for fitting a nD fixed width spherical shell to a...