Jacques-Olivier Lachaud
Jacques-Olivier Lachaud
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digital contour
Meaningful Scales Detection: an Unsupervised Noise Detection Algorithm for Digital Contours
This work presents an algorithm which permits to detect locally on digital contour what is the amount of noise estimated from a given …
B. Kerautret
,
Jacques-Olivier Lachaud
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A combined multi-scale/irregular algorithm for the vectorization of noisy digital contours
This paper proposes and evaluates a new method for reconstructing a polygonal representation from arbitrary digital contours that are …
A. Vacavant
,
T. Roussillon
,
B. Kerautret
,
Jacques-Olivier Lachaud
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Digital Shape Analysis with Maximal Segments
We show in this paper how a digital shape can be efficiently analyzed through the maximal segments defined along its digital contour. …
Jacques-Olivier Lachaud
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Meaningful Scales Detection along Digital Contours for Unsupervised Local Noise Estimation
The automatic detection of noisy or damaged parts along digital contours is a difficult problem since it is hard to distinguish between …
B. Kerautret
,
Jacques-Olivier Lachaud
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Project
DOI
IPOL demo
Circular arc reconstruction of digital contours with chosen Hausdorff error
We address the problem of constructing an approximate continuous representation of a digital contour with guarantees on the Hausdorff …
B. Kerautret
,
Jacques-Olivier Lachaud
,
T. P. Nguyen
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Poster (PDF)
Accurate Curvature Estimation along Digital Contours with Maximal Digital Circular Arcs
We propose in this paper a new curvature estimator based on the set of maximal digital circular arcs. For strictly convex shapes with …
T Roussillon
,
Jacques-Olivier Lachaud
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Regularization of Discrete Contour by Willmore Energy
We propose a novel approach to reconstruct shapes from digital data. Contrarily to most methods, reconstructed shapes are smooth with a …
E. Bretin
,
Jacques-Olivier Lachaud
,
É. Oudet
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Video (Ellipse fine)
Unsupervised, Fast and Precise Recognition of Digital Arcs in Noisy Images
In image processing and pattern recognition, the accuracy of most algorithms is dependent on a good parameterization, generally a …
T. P. Nguyen
,
B. Kerautret
,
I. Debled-Rennesson
,
Jacques-Olivier Lachaud
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Comparison and improvement of tangent estimators on digital curves
Many contour-based applications rely on the estimation of the geometry of the shape, such as pattern recognition or classification …
F. de Vieilleville
,
Jacques-Olivier Lachaud
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Curvature estimation along noisy digital contours by approximate global optimization
In this paper, we introduce a new curvature estimator along digital contours, which we called global min-curvature (GMC) estimator. As …
B. Kerautret
,
Jacques-Olivier Lachaud
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