Emanuel Aldea

  • Citations Per Year
Learn More
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image processing. In machine learning, performant algorithms have been developed for data organized as real valued arrays; these algorithms are used for various purposes like classification or(More)
In this paper, we use known camera motion associated to a video sequence of a static scene in order to estimate and incrementally refine the surrounding depth field. We exploit the SO(3)-invariance of brightness and depth fields dynamics to customize standard image processing techniques. Inspired by the Horn-Schunck method, we propose a SO(3)-invariant cost(More)
Various kernel functions on graphs have been defined recently. In this article, our purpose is to assess the efficiency of a marginalized kernel for image classification using structural information. Graphs are built from image segmentations, and various types of information concerning the underlying image regions as well as the spatial relationships(More)
This paper reports on the experimental study of the dynamic evolution of a dielectric barrier discharge in an atmospheric-pressure plasma enhanced chemical vapor deposition reactor using a gated intensified charge coupled detector. It is observed that a diffuse atmospheric pressure glow is formed via transition from Townsend-like discharge or,(More)
We are interested in the performance of currently available algorithms for the detection of cracks in the specific context of aerial inspection, which is characterized by image quality degradation. We focus on two widely used families of algorithms based on minimal cost path analysis and on image percolation, and we highlight their limitations in this(More)
The objective of our work is to reconstruct the dense structure of a static scene observed by a monocular camera system following a known trajectory. Our main contribution is representated by the proposition of a TV-L<sup>1</sup> energy functional that estimates directly the unknown depth field given the camera motion, thus avoiding to estimate as an(More)
In this paper we address the problem of multiple camera calibration in the presence of a homogeneous scene, and without the possibility of employing calibration object based methods. The proposed solution exploits salient features present in a larger field of view, but instead of employing active vision we replace the cameras with stereo rigs featuring a(More)
This work aims at detecting the corrosion susceptibility of titanium (Ti) exposed in various simulated artificial saliva. Complementary methods such as infrared analysis (IR) and atomic absorption spectroscopy have been used in order to put in evidence the products formed on the surface of metallic biomaterials and the ion release indentification(More)