Gallego, Neil Patrick del
Improving multiple-image super-resolution for mobile devices through image alignment selection
Multiple-image super-resolution (MISR) attempts to recover a high-resolution (HR) image from a set of lowresolution (LR) images. In this paper, we present a mobile MISR tailored to work for a wide range of mobile devices. Our technique aims to address misalignment issues from a...
Cunningham, Douglas W.
Morphological amoeba-based patches for exemplar-based inpainting
Inpainting is the process of replacing areas in an image with a perceptually plausible substitution. A common technique is to iteratively match and fill small patches at the edge of the target region making use of similar patches from the same image. Nearly all inpainting ...
Ben Aoun, Najib
Ben Amar, Chokri
Multiscale fully convolutional denseNet for semantic segmentation
In the computer vision field, semantic segmentation represents a very interesting task. Convolutional Neural Network methods have shown their great performances in comparison with other semantic segmentation methods. In this paper, we propose a multiscale fully convolutional DenseNet approach for ...
Linear subspaces of the appearance space
Manipulating digital optical material representations is still a difficult problem because arbitrary manipulations lead almost certainly to an unrealistic impression of the material. In this paper we present an approach to material editing based on a digital model of the V1-area of the&...
Mesh-based multi-view normal integration with energy minimization using surface reflectance properties
We propose a technique to reconstruct a general 3D object using surface reflectance information from multiple viewpoints. Our core optimization framework uses multi-view normal integration, which can recovers water-tight surface of the object iteratively in a coarse to fine manner. The integ...
A point-based and image-based multi-pass rendering technique for visualizing massive 3D point clouds in VR environments
Real-time rendering for 3D point clouds allows for interactively exploring and inspecting real-world assets, sites, or regions on a broad range of devices but has to cope with their vastly different computing capabilities. Virtual reality (VR) applications rely on high frame rates (i.e....
Scalable light field disparity estimation with occlusion detection
An occlusion-aware framework is proposed to robustly estimate the disparities of light field images. It is mainly realized by leveraging multiple edge cues to occlusion detection and then integrate it with local costs into an energy function. To check the performance, the quantitative...
- DSpace at University of West Bohemia
- Publikace ZČU / UWB Publications
- Časopisy ZČU / UWB Journals
- Journal of WSCG
- Volume 26 (2018)
- 7 2018