10 papers
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches
Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau +2
Superpixels have become very popular in many computer vision applications. Nevertheless, they remain underexploited since the superpixel decomposition may produce irregular and non…
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
Rémi Giraud, Merlin Boyer, Michaël Clément
Over-segmentation into superpixels is a very effective dimensionality reduction strategy, enabling fast dense image processing. The main issue of this approach is the inherent irre…
Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching
Rémi Giraud, Yannick Berthoumieu
Superpixels are widely used in computer vision applications. Nevertheless, decomposition methods may still fail to efficiently cluster image pixels according to their local texture…
Robust superpixels using color and contour features along linear path
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Superpixel decomposition methods are widely used in computer vision and image processing applications. By grouping homogeneous pixels, the accuracy can be increased and the decreas…
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis +4
Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches have demonstrated sta…
Evaluation Framework of Superpixel Methods with a Global Regularity Measure
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
In the superpixel literature, the comparison of state-of-the-art methods can be biased by the non-robustness of some metrics to decomposition aspects, such as the superpixel scale.…