This paper compares previously published length estimators in image analysis having digitized curves as input. The evaluation uses multigrid convergence (theoretical results and measured speed of convergence) and further measures as criteria. This paper also suggests a new gradient-based method for length estimation, and combines a previously proposed length estimator for straight segments with a polygonalization method
Thesis (Ph.D.)--University of Washington, 2019Accurate and robust curve estimation is important for ...
This book covers the most important topics in the area of pattern recognition, object recognition, c...
Digitizing the continuous world unavoidably looses information; as a consequence, geometrical proper...
International audienceThe paper compares previously published length estimators in image analysis ha...
The purpose of this paper is to discuss length estimation based on digitized curves. Information on ...
The paper details two linear-time algorithms, one for the partition of the boundary line of a digita...
International audienceAn interesting property for curve length digital estimators is the convergence...
We consider simple digital curves in a 3D orthogonal grid as special polyhedrally bounded sets. The...
Image analysis deals with discrete picture, obtained by a process of digitization. Through this proc...
International audienceThe analysis of digital shapes require tools to determine accurately their ge...
AbstractThe Minimum Length Polygon (MLP) is an interesting first order approximation of a digital co...
International audienceThe Minimum Length Polygon (MLP) is an interesting first order approximation o...
International audienceMany contour-based applications rely on the estimation of the geometry of the ...
Our study is about perimeter estimation of continuous shapes based on their digitization (i.e. their...
Abstract: Problem statement: Image representation has always been an important and interesting topic...
Thesis (Ph.D.)--University of Washington, 2019Accurate and robust curve estimation is important for ...
This book covers the most important topics in the area of pattern recognition, object recognition, c...
Digitizing the continuous world unavoidably looses information; as a consequence, geometrical proper...
International audienceThe paper compares previously published length estimators in image analysis ha...
The purpose of this paper is to discuss length estimation based on digitized curves. Information on ...
The paper details two linear-time algorithms, one for the partition of the boundary line of a digita...
International audienceAn interesting property for curve length digital estimators is the convergence...
We consider simple digital curves in a 3D orthogonal grid as special polyhedrally bounded sets. The...
Image analysis deals with discrete picture, obtained by a process of digitization. Through this proc...
International audienceThe analysis of digital shapes require tools to determine accurately their ge...
AbstractThe Minimum Length Polygon (MLP) is an interesting first order approximation of a digital co...
International audienceThe Minimum Length Polygon (MLP) is an interesting first order approximation o...
International audienceMany contour-based applications rely on the estimation of the geometry of the ...
Our study is about perimeter estimation of continuous shapes based on their digitization (i.e. their...
Abstract: Problem statement: Image representation has always been an important and interesting topic...
Thesis (Ph.D.)--University of Washington, 2019Accurate and robust curve estimation is important for ...
This book covers the most important topics in the area of pattern recognition, object recognition, c...
Digitizing the continuous world unavoidably looses information; as a consequence, geometrical proper...