Search Results - "Ôn Vũ Ngoc, Minh"

Automatic vectorization of historical maps: A benchmark by Chen, Yizi, Chazalon, Joseph, Carlinet, Edwin, Ôn Vũ Ngoc, Minh, Mallet, Clément, Perret, Julien

“…Shape vectorization is a key stage of the digitization of large-scale historical maps, especially city maps that exhibit complex and valuable details. Having…”
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The Dahu graph-cut for interactive segmentation on 2D/3D images by Ôn Vũ Ngọc, Minh, Carlinet, Edwin, Fabrizio, Jonathan, Géraud, Thierry

“…•An efficient method to compute the Dahu pseudo-distance on multivariate images.•A new interactive segmentation method (based on the Dahu…”
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Automatic vectorization of historical maps: A benchmark by Yizi Chen, Joseph Chazalon, Edwin Carlinet, Minh Ôn Vũ Ngoc, Clément Mallet, Julien Perret

“…Shape vectorization is a key stage of the digitization of large-scale historical maps, especially city maps that exhibit complex and valuable details. Having…”
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A minimum barrier distance for multivariate images with applications by Ôn Vũ Ngọc, Minh, Boutry, Nicolas, Fabrizio, Jonathan, Géraud, Thierry

“…Distance transforms and the saliency maps they induce are widely used in image processing, computer vision, and pattern recognition. The minimum barrier…”
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Document Detection in Videos Captured by Smartphones using a Saliency-Based Method by On Vu Ngoc, Minh, Fabrizio, Jonathan, Geraud, Thierry

“…Smartphones are now widely used to digitize paper documents. Document detection is the first important step of the digitization process. Whereas many methods…”
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Saliency-Based Detection of Identy Documents Captured by Smartphones by Ngoc, Minh On Vu, Fabrizio, Jonathan, Geraud, Thierry

“…Smartphones have became an easy and convenient mean to acquire documents. In this paper, we focus on the automatic segmentation of identity documents in…”
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BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation by Ngoc, Minh On Vu, Chen, Yizi, Boutry, Nicolas, Fabrizio, Jonathan, Mallet, Clement

“…Capturing the global topology of an image is essential for proposing an accurate segmentation of its domain. However, most of existing segmentation methods do…”
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