Publications of Florent Poux
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See detailNumérisation 3D par lasergrammétrie et photogrammétrie: applications à la Réalité Virtuelle
Poux, Florent ULiege; Luczfalvy Jancsó, Andrea ULiege; Jonlet, Benoît ULiege et al

Conference (2018, March 08)

Alors que les copies virtuelles du monde réel ont tendance à être créées plus rapidement que jamais sous forme de nuages de points et produits dérivés, leur utilisation par tous les professionnels demande ... [more ▼]

Alors que les copies virtuelles du monde réel ont tendance à être créées plus rapidement que jamais sous forme de nuages de points et produits dérivés, leur utilisation par tous les professionnels demande de nouveaux outils pour faciliter la diffusion des connaissances. Les analyses numériques changent la manière dont les chercheurs, les archéologues et les conservateurs du patrimoine travaillent et collaborent pour combiner progressivement leur expertise grâce à une plate-forme commune. Néanmoins, l’adjonction d'information sémantique pour compléter les nuages de points est essentielle pour permettre une utilisation complète comme donnée de référence. Les concepts et les outils qui simplifient ce processus sont rares, ce qui complique la mise en commun des analyses. Différentes méthodes seront présentées permettant d'extraire des informations archéologiques aux nuages de points et créer une connexion avec les connaissances structurées sous forme d'ontologie. Les outils de communication et de visualisation 3D développés pour permettre plusieurs interactions seront illustrées sur le château de Jehay. Un partenariat a été établi entre cette association et l’Unité de Géomatique de l’Université de Liège. Il porte non seulement sur l’acquisition de données 3D mais aussi sur l’accompagnement de l’association dans ses projets de recherches archéologiques, de réhabilitation du site et de valorisation. Plusieurs campagnes de mesures ont été réalisées à différents stades de la rénovation. De nouvelles missions sont prévues notamment par des étudiants de l’Université. Outre plusieurs vidéos promotionnelles et quelques produits dérivés utiles à la rénovation, une exploitation en réalité virtuelle retient pour le moment l’attention de nos développeurs. En effet, le Château étant actuellement en grande partie fermé au public, il est prévu cet été d’offrir sur le site des visites en réalité virtuelle basées sur des levés lasergrammétriques et photogrammétriques. À plus long terme, il est prévu d’établir un système d’information spatialisée dédié au Château ; les bases conceptuelles de ce système ont déjà été dressées lors d’une récente étude. [less ▲]

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See detailFusion de données lasergrammétriques/photogrammétriques et techniques d'extraction d'information archéologique sur base de nuage de points 3D
Poux, Florent ULiege; Billen, Roland ULiege; Hallot, Pierre ULiege et al

Conference (2018, March 08)

While virtual copies of the real world tend to be created faster than ever in the form of point clouds and derived products, their use by all professionals requires new tools to facilitate the ... [more ▼]

While virtual copies of the real world tend to be created faster than ever in the form of point clouds and derived products, their use by all professionals requires new tools to facilitate the dissemination of knowledge. Digital analyses are changing the way researchers, archaeologists and heritage curators work and collaborate to gradually combine their expertise through a common platform. Nevertheless, the addition of semantic information to complete the point clouds is essential to allow a complete use as reference data. There are few concepts and tools that simplify this process, making it difficult to share analyses. Different methods will be presented to extract archaeological information from the point clouds and create a connection with the structured knowledge in the form of ontology. Classification and structuring procedures for reasoning from the data will be discussed. These methodologies will be illustrated at the Germigny-des-prés (France) and Château de Jehay (Belgium) sites. The communication and 3D visualization tools developed to allow several interactions will also be presented. While the Germigny-des-prés site (France) is almost exclusively dedicated to research, the same is not true for the Jehay site. This exceptional site belongs to the Province of Liège and is managed by a non-profit association. A partnership has been established between this association and the Geomatics Unit of the University of Liège. It concerns not only the acquisition of 3D data but also the support of the association in its archaeological research, site rehabilitation and enhancement projects. Several measurement campaigns were carried out at different stages of the renovation. New missions are planned, notably by students from the University. In addition to several promotional videos and a few derivative products useful for renovation, a virtual reality operation is currently attracting the attention of our developers. Indeed, the Castle is currently largely closed to the public, it is planned this summer to offer virtual reality tours based on lasergrammetric and photogrammetric surveys. In the longer term, it is planned to establish a spatialized information system dedicated to the Castle; the conceptual bases of this system have already been established during a recent study. [less ▲]

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See detailMODEL FOR REASONING FROM SEMANTICALLY RICH POINT CLOUD DATA
Poux, Florent ULiege; Neuville, Romain ULiege; Hallot, Pierre ULiege et al

in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2017, October 26), IV-4/W5

This paper proposes an interoperable model for managing high dimensional point clouds while integrating semantics. Point clouds from sensors are a direct source of information physically describing a 3D ... [more ▼]

This paper proposes an interoperable model for managing high dimensional point clouds while integrating semantics. Point clouds from sensors are a direct source of information physically describing a 3D state of the recorded environment. As such, they are an exhaustive representation of the real world at every scale: 3D reality-based spatial data. Their generation is increasingly fast but processing routines and data models lack of knowledge to reason from information extraction rather than interpretation. The enhanced smart point cloud developed model allows to bring intelligence to point clouds via 3 connected meta-models while linking available knowledge and classification procedures that permits semantic injection. Interoperability drives the model adaptation to potentially many applications through specialized domain ontologies. A first prototype is implemented in Python and PostgreSQL database and allows to combine semantic and spatial concepts for basic hybrid queries on different point clouds. [less ▲]

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See detailTOWARDS A DECISION SUPPORT TOOL FOR 3D VISUALISATION: APPLICATION TO SELECTIVITY PURPOSE OF SINGLE OBJECT IN A 3D CITY SCENE
Neuville, Romain ULiege; Pouliot, Jacynthe; Poux, Florent ULiege et al

in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2017, October 26), IV-4/W5

This paper deals with the establishment of a comprehensive methodological framework that defines 3D visualisation rules and its application in a decision support tool. Whilst the use of 3D models grows in ... [more ▼]

This paper deals with the establishment of a comprehensive methodological framework that defines 3D visualisation rules and its application in a decision support tool. Whilst the use of 3D models grows in many application fields, their visualisation remains challenging from the point of view of mapping and rendering aspects to be applied to suitability support the decision making process. Indeed, there exists a great number of 3D visualisation techniques but as far as we know, a decision support tool that facilitates the production of an efficient 3D visualisation is still missing. This is why a comprehensive methodological framework is proposed in order to build decision tables for specific data, tasks and contexts. Based on the second-order logic formalism, we define a set of functions and propositions among and between two collections of entities: on one hand static retinal variables (hue, size, shape…) and 3D environment parameters (directional lighting, shadow, haze…) and on the other hand their effect(s) regarding specific visual tasks. It enables to define 3D visualisation rules according to four categories: consequence, compatibility, potential incompatibility and incompatibility. In this paper, the application of the methodological framework is demonstrated for an urban visualisation at high density considering a specific set of entities. On the basis of our analysis and the results of many studies conducted in the 3D semiotics, which refers to the study of symbols and how they relay information, the truth values of propositions are determined. 3D visualisation rules are then extracted for the considered context and set of entities and are presented into a decision table with a colour coding. Finally, the decision table is implemented into a plugin developed with three.js, a cross-browser JavaScript library. The plugin consists of a sidebar and warning windows that help the designer in the use of a set of static retinal variables and 3D environment parameters. [less ▲]

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See detail3D Point Clouds in Archaeology: Advances in Acquisition, Processing and Knowledge Integration Applied to Quasi-Planar Objects
Poux, Florent ULiege; Neuville, Romain ULiege; Van Wersch, Line ULiege et al

in Geosciences (2017), 7(4), 96

Digital investigations of the real world through point clouds and derivatives are changing how curators, cultural heritage researchers and archaeologists work and collaborate. To progressively aggregate ... [more ▼]

Digital investigations of the real world through point clouds and derivatives are changing how curators, cultural heritage researchers and archaeologists work and collaborate. To progressively aggregate expertise and enhance the working proficiency of all professionals, virtual reconstructions demand adapted tools to facilitate knowledge dissemination. However, to achieve this perceptive level, a point cloud must be semantically rich, retaining relevant information for the end user. In this paper, we review the state of the art of point cloud integration within archaeological applications, giving an overview of 3D technologies for heritage, digital exploitation and case studies showing the assimilation status within 3D GIS. Identified issues and new perspectives are addressed through a knowledge-based point cloud processing framework for multi-sensory data, and illustrated on mosaics and quasi-planar objects. A new acquisition, pre-processing, segmentation and ontology-based classification method on hybrid point clouds from both terrestrial laser scanning and dense image matching is proposed to enable reasoning for information extraction. Experiments in detection and semantic enrichment show promising results of 94% correct semantization. Then, we integrate the metadata in an archaeological smart point cloud data structure allowing spatio-semantic queries related to CIDOC-CRM. Finally, a WebGL prototype is presented that leads to efficient communication between actors by proposing optimal 3D data visualizations as a basis on which interaction can grow. [less ▲]

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See detailPOINT CLOUD CLASSIFICATION OF TESSERAE FROM TERRESTRIAL LASER DATA COMBINED WITH DENSE IMAGE MATCHING FOR ARCHAEOLOGICAL INFORMATION EXTRACTION
Poux, Florent ULiege; Neuville, Romain ULiege; Hallot, Pierre ULiege et al

in International Journal on Advances in Life Sciences (2017, August 16), IV-2/W2

Reasoning from information extraction given by point cloud data mining allows contextual adaptation and fast decision making. However, to achieve this perceptive level, a point cloud must be semantically ... [more ▼]

Reasoning from information extraction given by point cloud data mining allows contextual adaptation and fast decision making. However, to achieve this perceptive level, a point cloud must be semantically rich, retaining relevant information for the end user. This paper presents an automatic knowledge-based method for pre-processing multi-sensory data and classifying a hybrid point cloud from both terrestrial laser scanning and dense image matching. Using 18 features including sensor’s biased data, each tessera in the high-density point cloud from the 3D captured complex mosaics of Germigny-des-prés (France) is segmented via a colour multi-scale abstraction-based featuring extracting connectivity. A 2D surface and outline polygon of each tessera is generated by a RANSAC plane extraction and convex hull fitting. Knowledge is then used to classify every tesserae based on their size, surface, shape, material properties and their neighbour’s class. The detection and semantic enrichment method shows promising results of 94% correct semantization, a first step toward the creation of an archaeological smart point cloud. [less ▲]

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See detailDIGITAL INVESTIGATIONS OF AN ARCHAEOLOGICAL SMART POINT CLOUD: A REAL TIME WEB-BASED PLATFORM TO MANAGE THE VISUALISATION OF SEMANTICAL QUERIES
Poux, Florent ULiege; Neuville, Romain ULiege; Hallot, Pierre ULiege et al

in Conservation of Cultural Heritage in the Digital Era (2017, May 16)

While virtual copies of the real world tend to be created faster than ever through point clouds and derivatives, their working proficiency by all professionals’ demands adapted tools to facilitate ... [more ▼]

While virtual copies of the real world tend to be created faster than ever through point clouds and derivatives, their working proficiency by all professionals’ demands adapted tools to facilitate knowledge dissemination. Digital investigations are changing the way cultural heritage researchers, archaeologists, and curators work and collaborate to progressively aggregate expertise through one common platform. In this paper, we present a web application in a WebGL framework accessible on any HTML5-compatible browser. It allows real time point cloud exploration of the mosaics in the Oratory of Germigny-des-Prés, and emphasises the ease of use as well as performances. Our reasoning engine is constructed over a semantically rich point cloud data structure, where metadata has been injected a priori. We developed a tool that directly allows semantic extraction and visualisation of pertinent information for the end users. It leads to efficient communication between actors by proposing optimal 3D viewpoints as a basis on which interactions can grow. [less ▲]

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See detailSMART POINT CLOUD: DEFINITION AND REMAINING CHALLENGES
Poux, Florent ULiege; Neuville, Romain ULiege; Hallot, Pierre ULiege et al

in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2016, October 05), IV-2(W1), 119-127

Dealing with coloured point cloud acquired from terrestrial laser scanner, this paper identifies remaining challenges for a new data structure: the smart point cloud. This concept arises with the ... [more ▼]

Dealing with coloured point cloud acquired from terrestrial laser scanner, this paper identifies remaining challenges for a new data structure: the smart point cloud. This concept arises with the statement that massive and discretized spatial information from active remote sensing technology is often underused due to data mining limitations. The generalisation of point cloud data associated with the heterogeneity and temporality of such datasets is the main issue regarding structure, segmentation, classification, and interaction for an immediate understanding. We propose to use both point cloud properties and human knowledge through machine learning to rapidly extract pertinent information, using user-centered information (smart data) rather than raw data. A review of feature detection, machine learning frameworks and database systems indexed both for mining queries and data visualisation is studied. Based on existing approaches, we propose a new 3-block flexible framework around device expertise, analytic expertise and domain base reflexion. This contribution serves as the first step for the realisation of a comprehensive smart point cloud data structure [less ▲]

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See detailCASTLE4D: An Archaeological Information System Based on 3D Point Clouds
Luczfalvy Jancsó, Andrea ULiege; Billen, Roland ULiege; Hoffsummer, Patrick ULiege et al

in Lerma, José Luis; Cabrelles, Miriam (Eds.) Proceedings of the Arqueológica 2.0 - 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation : Universitat Politècnica de València, Valence 5-7 septembre 2016 (2016)

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See detailSegmentation semi-automatique pour le traitement de données 3D denses : application au patrimoine architectural
Poux, Florent ULiege; Hallot, Pierre ULiege; Jonlet, Benoît ULiege et al

in XYZ: la Revue de l'Association Française de Topographie (2014), 141(36), 69-75

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See detailSemi-automatic and versatile point-cloud segmentation by region growing based on normal estimation
Poux, Florent ULiege; Billen, Roland ULiege

Poster (2013, September 06)

Segmentation is an essential step in the production chain of point-cloud processing. It defines the pertinence and accuracy of a future 3D model reconstruction, as well as a high level analysis of any ... [more ▼]

Segmentation is an essential step in the production chain of point-cloud processing. It defines the pertinence and accuracy of a future 3D model reconstruction, as well as a high level analysis of any scene. Its goal is to extract from a large 3D dataset different groups of points that share a logical link to wisely consider them as one entity. Manual segmentation of a 3D point cloud is extremely time consuming and imprecise for large datasets, and thus automated classification is the main focus of this paper. [less ▲]

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See detailRecording, Documentation and Cooperation for Cultural Heritage
Poux, Florent ULiege; Billen, Roland ULiege

Poster (2013, September 02)

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