arXiv subjects

Francesc Serratosa

Publications and source records attributed to Francesc Serratosa.

5 recordsLinked to original sources

arXiv2026

Geometry-Based Neural-Network Prediction of Electron Localization Function Topology in Dense Hydrogen

We develop a machine-learning framework to predict the electron localization function (ELF) of pure, dense hydrogen directly from atomic geometry, bypassing explicit electronic-structure calculations. Trained on first-principles data spanning multiple pressure regimes in dense fluid hydrogen, the model achieves high accuracy ($R^2 > 0.99$) and faithfully reproduces the global distribution of the ELF. A combined real- and reciprocal-space analysis reveals that the residual error is dominated by smooth, long-wavelength components with correlation lengths exceeding typical H--H bonding scales, and that the magnitude of these components increases systematically with pressure. Despite being trained exclusively on dense fluid hydrogen networks, the model transfers robustly to crystalline hydrogen configurations, preserving key features of ELF topology, including critical points and hydrogen-network connectivity. Taken together, these results suggest a viable route toward geometry-based, high-throughput evaluation of hydrogen-networking characteristics in both fluid and crystalline hydrogen.

cond-mat.mtrl-sci↗

arXiv2022

A General Framework for Partial to Full Image Registration

Image registration is a research field in which images must be compared and aligned independently of the point of view or camera characteristics. In some applications (such as forensic biometrics, satellite photography or outdoor scene identification) classical image registration systems fail due to one of the images compared represents a tiny piece of the other image. For instance, in forensics palmprint recognition, it is usual to find only a small piece of the palmprint, but in the database, the whole palmprint has been enrolled. The main reason of the poor behaviour of classical image registration methods is the gap between the amounts of salient points of both images, which is related to the number of points to be considered as outliers. Usually, the difficulty of finding a good match increases when the image that represents the tiny part of the scene has been drastically rotated. Again, in the case of palmprint forensics, it is difficult to decide a priori the orientation of the found tiny palmprint image. We present a rotation invariant registration method that explicitly considers that the image to be matched is a small piece of a larger image. We have experimentally validated our method in two different scenarios; palmprint identification and outdoor image registration.

cs.CV↗

arXiv2020

Security in biometric systems

The objective of biometric systems is to provide an identification mechanism. This identification mechanism can be used to fulfil several objectives. The most common, related to providing security to a resource, is usually authentication or detection of authorized personnel and detection of unauthorized personnel. From the technical point of view, these two objectives can be included in a single point since most functionalities are achieved by making searches of people previously identified in the database of the system in question. In the first case access is given to people entered in the database and in the second case access is given to people who are not entered in the database. Although these are the two most common attacks there are also others that we will discuss in this chapter. The structure of the chapter is as follows. The first part of the chapter gives an overview of the basic types of attacks and describes the usual protection measures (Sections 1, 2 and 3). The second part of the chapter describes several attacks that can be made on systems based on fingerprinting, face recognition, and iris recognition (Sections 4 and 5). Once the attack methodologies have been described, some specific protection measures are also discussed (Sections 4 and 5). Finally, side channel attacks and their usefulness in combination with other possible attacks are described (Section 6).

cs.CR↗

arXiv2016

Function-Described Graphs for Structural Pattern Recognition

We present in this article the model Function-described graph (FDG), which is a type of compact representation of a set of attributed graphs (AGs) that borrow from Random Graphs the capability of probabilistic modelling of structural and attribute information. We define the FDGs, their features and two distance measures between AGs (unclassified patterns) and FDGs (models or classes) and we also explain an efficient matching algorithm. Two applications of FDGs are presented: in the former, FDGs are used for modelling and matching 3D-objects described by multiple views, whereas in the latter, they are used for representing and recognising human faces, described also by several views.

cs.AI↗

arXiv2012

On the Relation Between the Common Labelling and the Median Graph

In structural pattern recognition, given a set of graphs, the computation of a Generalized Median Graph is a well known problem. Some methods approach the problem by assuming a relation between the Generalized Median Graph and the Common Labelling problem. However, this relation has still not been formally proved. In this paper, we analyse such relation between both problems. The main result proves that the cost of the common labelling upper-bounds the cost of the median with respect to the given set. In addition, we show that the two problems are equivalent in some cases.

cs.CV↗