5 papers
Generalized Shortest Path-based Superpixels for 3D Spherical Image Segmentation
Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu
The growing use of wide angle image capture devices and the need for fast and accurate image analysis in computer visions have enforced the need for dedicated under-representation…
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…
Handling Multiple Hypotheses in Coarse-to-Fine Dense Image Matching
Matthieu Vilain, Rémi Giraud, Yannick Berthoumieu +1
Dense image matching aims to find a correspondent for every pixel of a source image in a partially overlapping target image. State-of-the-art methods typically rely on a coarse-to-…
Texture-Aware Superpixel Segmentation
Remi Giraud, Vinh-Thong Ta, Nicolas Papadakis +1
Most superpixel algorithms compute a trade-off between spatial and color features at the pixel level. Hence, they may need fine parameter tuning to balance the two measures, and hi…
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
Youssef Mourchid, Marc Donias, Yannick Berthoumieu +1
This paper addresses the automatic colorization problem, which converts a gray-scale image to a colorized one. Recent deep-learning approaches can colorize automatically grayscale…