Sébastien Mavromatis

• PhD
• Professor (Associate) at Aix-Marseille University

The hyperspectral component of bidirectional reflectance measurements, namely from several hundred wavelengths upwards, is attracting growing interest for numerous applications in both optics and computer graphics. In this paper, we present a motorized hyperspectral bidirectional reflectance measurement bench that performs in-plane and out-of-plane...

La Licence professionnelle en Radioprotection et Sûreté Nucléaire de l’IUT d’Aix Marseille possède son propre chantier école en radioprotection ; EXTREME pour EX position des TR availleurs E n M ilieu nucléair E . Cette plateforme comprend l’intégralité des éléments d’une Installation Nucléaire de Base depuis les vestiaires jusqu’à la sortie de zon...

Super-resolution (SR) technology is an important way to improve spatial resolution under the condition of sensor hardware limitations. With the development of deep learning (DL), some DL-based SR models have achieved state-of-the-art performance, especially the convolutional neural network (CNN). However, considering that remote sensing images usua...

This paper focuses on motion prediction for a ship navigating through sea swell. Ship motion prediction may be useful for helicopter maritime operations, notably for search and rescue missions. An efficient prediction method based on adaptive notch filters is proposed for non stationary perturbations. Classic methods of prediction are reviewed for...

The detection of eye torsion is an important element for diagnosis of balance disorders, although it is rarely available in existing eye tracking systems. A novel method is proposed in this paper to provide robust measurement of torsional eye movements. A numerical approach is presented to estimate the iris boundary only according to the gaze direc...

Kinship verification through facial images using multiscale and multilevel handcrafted features," Abstract. We address kinship verification, which is a challenging problem in computer vision and pattern discovery. It has several applications, such as organizing photo albums, recognizing resemblances among humans, and finding missing children. We pr...

The use of facial images in the kinship verification is a challenging research problem in soft biometrics and computer vision. In our work, we present a kinship verification system that starts with pair of facial images of the child and parent, then as a final result is determine whether two persons have a kin relation or not. our approach contains...

Super-resolution (SR) is able to improve the spatial resolution of remote sensing images, which is critical for many practical applications such as fine urban monitoring. In this paper, a new single-image SR method, deep gradient-aware network with image-specific enhancement (DGANet-ISE) was proposed to improve the spatial resolution of remote sens...

The kinship verification through facial images is ana ctive research topic due to its potential applications. In this paper, we propose an approach which takes two images as input then give kinship result (kinship / No-kinship) as an output. our approach based on the deep learning model (ResNet) for the feature extraction step, alongside with our p...

In the coming years, incremental automation will be the main challenge in the development of highly versatile helicopter technologies. To support this effort, vision-based systems are becoming a mandatory technological foundation for helicopter avionics. Among the different advantages that computer vision can provide for flight assistance, navigati...

Kinship verification is a challenging problem that recently attracted much interest in computer vision, this system has a number of applications such as organizing large collections of images and recognizing resemblances among humans and search for lost people. In this work, we propose a new method based on different descriptors mixed such as (LBP,...

Urban areas are major places where intensive interactions between human and the natural system occur. Urban vegetation is a major component of the urban ecosystem, and urban residents benefit substantially from urban green spaces. To measure urban green spaces, remote sensing is an established tool due to its capability of monitoring urban vegetati...

Method and system for estimating a similarity between two binary images.

Pixel-based and object-oriented processing of Chinese HJ-1-A satellite imagery resolution 30 m acquired on 23 July 2009 were utilized for classification of a study area in Budapest, Hungary. The pixel-based method maximum likelihood classifier for pixel-level method MLCPL and two object-oriented methods maximum likelihood classifier for object-leve...

Ce chapitre présente les étapes clés du processus de reconstruction en se focalisant sur certains "points difficiles". Une premiére partie traite de l'analyse d'images couleur en vue de sélectionner automatiquement la surface de jeu. Dans une seconde partie, l'extraction du marquage dans l'aire de jeu sera abordée en s'appuyant sur l'utilisation de...

In this chapter, the authors present the key stages of the reconstruction process, focusing on certain difficult points. They consider the analysis of color images with the aim of automatically selecting the playing surface. The region of interest (ROI) of a sporting scene is, naturally, the playing area. This playing area may often be characterize...

We here present a new approach to characterize similar areas of two 2D point clouds, which is a major issue in Pattern Recognition and Image Analysis. To do so, we define a similarity measure that takes into account several criteria such as invariance by rotation, outlier elimination, and one-dimensional structure enhancement. We use this similarit...

This communication focuses on the characterisation of a similarity measure between parts of 2D point clouds. This measure is defined thanks to the use of a general knowledge about real point clouds: they share a large amount of one-dimensional structures. These structures can be represented into a unified manner with a new type of primitives; then,...

The main purpose of this paper is to discuss the global illumination methods in the context of real-time walkthrough. Our work focuses on an accurate illumination of complex scenes; the intensity of the lights can also be interactively modified. This feature is particularly relevant within the context of a production pipeline: After the 3D modeling...

Method and system for estimating a similarity between two binary images.

The use of several images of various modalities has been proved to be useful for solving problems arising in many different applications of remote sensing. The main reason is that each image of a given modality conveys its own part of specific information, which can be integrated into a single model in order to improve our knowledge on a given area...

Image registration is a major issue in the field of Remote Sensing because it provides a support for integrating information from two or more images into a model that represents our knowledge on a given application. It may be used for comparing the content of two segmented images captured by the same sensor at different times; but it also may be us...

The aim of this study was to determine what visual information expert soccer players encode when they are asked to make a decision. We used a repetition-priming paradigm to test the hypothesis that experts encode a soccer pattern's structure independently of the players' physical characteristics (i.e., posture and morphology). The participants were...

This paper uses as starting point the transformation matrix defined in the homogeneous space that associates the points of a 2D plane (that represents the model) with those of another 2D space (the image one), this transformation characterizing the camera capture process. This transformation (an homography from 2D to 2D) is coming from previous wor...

The first pictures of the earth were taken from a balloon in the mid-19(th) century and thus started 'earth observation'. Aerial missions in the 20(th) century enabled the build-up of outstanding photographic libraries and then with Landsat-1, the first civilian satellite launched in 1972, digital images of the earth became an operational reality....

Radar Imaging using SAR systems provides specific information that is very useful in the frame of "Digital Earth" applications (i.e. flood supervision, forestry or agriculture watch,). The main interest of such active systems is their capability to gather relevant data whatever the weather and the illumination conditions may be (cloudy, misty, duri...

We present a global approach that enables the production of 3D soccer sequences from non-calibrated video cameras. Our system can produce a 3D animated model of the scene from a single non-calibrated moving camera (a TV sequence for example). The results presented here are very encouraging even with a single camera approach and will probably improv...

Landmarks are specific points that can be identified to provide efficient matching processes. Many works have been developed for detecting automatically such landmarks in images: our purpose is not to propose a new approach for such a detection but to validate the detected landmarks in a given context that is the 2D to 3D registration of soccer vid...

We present an original approach based on the joint use of color and spatial coherence to automatically detect the soccer field in video sequences. We assume that the corresponding area is significant enough for that. This assumption is verified when the camera is oriented toward the field and does not focus on a given element of the scene such as a...

In this paper, we propose a new formalism that enables to take into account textural features of the image in a very robust and selective way. This approach also permits visualization of these features so experts can efficiently supervise an image segmentation process based on texture analysis. The texture concept has been studied through different...

New trends in analyzing team sport strategies involve the understanding of cognitive processes. Most works in this field do not use sophisticated technological supports such as those derived from Computer Graphics. These considerations led us to develop a simulation environment for 3D scene analysis with a special attention to the introduction of s...

In this paper, we propose a new formalism that enables to take into account image textural features in a very robust and selective way. This approach also permits to visualize these features so experts can efficiently supervise an image segmentation process based on texture analysis. The texture concept has been studied through different approaches...

This paper describes the global architecture of a simulation environment we have designed to analyze team sport strate-gies. We do not introduce original algorithms to solve specific problems but we focus more on their relations with cognitive ones. Our goal is to implement a tool that can help scientists to understand some human behaviors and coac...

Many researchers have used simulation to study the cognitive processes that underlie the decision‐making skills of expert athletes. However, we have seen that these studies used an explicit‐memory paradigm that does not uncover the processes responsible for the emergence of decisions made during a game. They have primarily been concerned with descr...

Up to the end of the 70's, Medical Imaging was mainly related to the study of planar data sets resulting from direct physical acquisitions (e.g. X-Ray radiographs). Then, the development of inverse methods associated with the increasing power of computers enabled the visualization and the analysis of human being cross-section images (e.g. CT scans,...

Medical image segmentation can often be performed through tissue texture analysis. One of the most recent and interesting ideas to do that is to take into account the distribution of local maximum orders. We have followed up this idea by using directional maximums and we have applied it to tissue differentiation. Two problems are emerging now: one...

This paper introduces an original approach to automatically se- lect a Region of Interest in an image that represents a 3D scene. We assume that the Region of Interest background is significant enough to be characterized by its color and its spatial coherence. We use these two features to provide such a selection that is the first step of a 2D to D...