Beatriz Marcotegui

Professor

Center · STIM

Keywords

Awards & distinctions

2025 Conférencière invitée à DGMM (4th International Conference on Discrete Geometry and Mathematical Morphology
2013 U. V. Helava Award: Best Paper in the ISPRS *Journal of Photogrammetry and Remote*

Team

STIM

Biography

Beatriz Marcotegui is a researcher specializing in the processing and analysis of images and 3D data, with significant expertise in mathematical morphology, segmentation, and point cloud classification. Her work covers a wide range of applications, from the analysis of urban environments using LiDAR data to the segmentation of medical and industrial images. She has contributed to the development of innovative methods for extracting geometric structures, such as 3D morphological skeletons, and for adapting processing techniques to heterogeneous data, particularly in the context of mobile systems and real-time data streams. Her research also incorporates machine learning approaches to improve the robustness and efficiency of segmentation and classification algorithms, while exploring hybrid solutions that combine traditional methods with data-driven models.

Publication(s)

2025
MorphoSkel3D: Morphological Skeletonization of 3D Point Clouds for Informed Sampling in Object Classification and Retrieval DOI : 10.1109/3DV66043.2025.00128
2022
DARTBOARD BASED GROUND DETECTION ON 3D POINT CLOUD DOI : 10.5194/isprs-archives-XLIII-B2-2022-185-2022
2021
Paris-carla-3d: A real and synthetic outdoor point cloud dataset for challenging tasks in 3d mapping DOI : 10.3390/rs13224713
2021
On power jaccard losses for semantic segmentation
2021
End-to-End Similarity Learning and Hierarchical Clustering for Unfixed Size Datasets DOI : 10.1007/978-3-030-80209-7_64
2020
On minimum spanning tree streaming for hierarchical segmentation DOI : 10.1016/j.patrec.2020.07.006
2020
SHREC 2020: 3D point cloud semantic segmentation for street scenes DOI : 10.1016/j.cag.2020.09.006
2020
Image segmentation based on ultimate levelings: From attribute filters to machine learning strategies DOI : 10.1016/j.patrec.2020.03.013
2020
SHREC’20 Track: Retrieval of digital surfaces with similar geometric reliefs DOI : 10.1016/j.cag.2020.07.011
2020
Road Segmentation on Low Resolution Lidar Point Clouds for Autonomous Vehicles DOI : 10.5194/isprs-annals-V-2-2020-335-2020
2019
KPConv: Flexible and deformable convolution for point clouds DOI : 10.1109/ICCV.2019.00651
2019
Non-rigid shape registration using curvature information DOI : 10.5220/0007354903340340
2019
A graph-based color lines model for image analysis DOI : 10.1007/978-3-030-30645-8_17
2019
Mathematical morphology on irregularly sampled data applied to segmentation of 3d point clouds of urban scenes DOI : 10.1007/978-3-030-20867-7_29
2019
Ultimate levelings with strategy for filtering undesirable residues based on machine learning DOI : 10.1007/978-3-030-20867-7_23
2019
Segmenting junction regions without skeletonization using geodesic operators and the max-tree DOI : 10.1007/978-3-030-20867-7_35
2018
Semantic classification of 3d point clouds with multiscale spherical neighborhoods DOI : 10.1109/3DV.2018.00052
2018
Local multiscale blur estimation based on toggle mapping for sharp region extraction DOI : 10.1049/iet-ipr.2017.0095
2018
On minimum spanning tree streaming for image analysis DOI : 10.1109/ICIP.2018.8451715
2017
Ultimate levelings DOI : 10.1016/j.cviu.2017.06.010
2017
Ultimate opening combined with area stability applied to urban scenes DOI : 10.1007/978-3-319-57240-6_21
2016
Segmentation and classification of 3D urban point clouds: Comparison and combination of two approaches DOI : 10.1007/978-3-319-27702-8_14
2016
Segmentation of façades from urban 3D point clouds using geometrical and morphological attribute-based operators DOI : 10.3390/ijgi5010006
2016
Adaptive scene-text binarisation on images captured by smartphones DOI : 10.1049/iet-ipr.2015.0695
2015
TerraMobilita/iQmulus urban point cloud analysis benchmark DOI : 10.1016/j.cag.2015.03.004
2015
Local blur estimation based on toggle mapping DOI : 10.1007/978-3-319-18720-4_13
2014
Scalable and detail-preserving ground surface reconstruction from large 3D point clouds acquired by mobile mapping systems DOI : 10.5194/isprsarchives-XL-3-73-2014
2014
Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning DOI : 10.1016/j.isprsjprs.2014.03.015
2014
Residual approach on a hierarchical segmentation DOI : 10.1109/ICIP.2014.7025884
2014
Segmentation of elongated objects using attribute profiles and area stability: Application to melanocyte segmentation in engineered skin DOI : 10.1016/j.patrec.2014.03.014
2014
Exudate detection in color retinal images for mass screening of diabetic retinopathy DOI : 10.1016/j.media.2014.05.004
2014
Paris-rue-madame database: A 3D mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods DOI : 10.5220/0004934808190824
2013
TeleOphta: Machine learning and image processing methods for teleophthalmology DOI : 10.1016/j.irbm.2013.01.010
2013
Attribute controlled reconstruction and adaptive mathematical morphology DOI : 10.1007/978-3-642-38294-9_18
2013
Text detection in street level images DOI : 10.1007/s10044-013-0329-7
2013
Compression DOI : 10.1002/9781118600788.ch16
2013
Urban accessibility diagnosis from mobile laser scanning data DOI : 10.1016/j.isprsjprs.2013.07.001
2012
Adaptive parameter tuning for morphological segmentation of building facade images
2011
Shape ultimate attribute opening DOI : 10.1016/j.imavis.2011.05.001
2011
Ultimate opening and gradual transitions DOI : 10.1007/978-3-642-21569-8_15
2010
Snoopertext: A multiresolution system for text detection in complex visual scenes DOI : 10.1109/ICIP.2010.5651761
2010
Segmentation et interpretation de nuages de points pour la modelisation d'environnements urbains
2009
Point cloud segmentation towards urban ground modeling DOI : 10.1109/URS.2009.5137562
2009
Morphological segmentation of building fa̧cade images DOI : 10.1109/ICIP.2009.5413756
2009
Ultimate attribute opening segmentation with shape information DOI : 10.1007/978-3-642-03613-2_19
2009
Morphological segmentation on learned boundaries DOI : 10.1016/j.imavis.2008.06.012
2009
Fast implementation of the ultimate opening DOI : 10.1007/978-3-642-03613-2_25
2009
Automatic key-frame extraction from broadcast soccer videos
2009
Text segmentation in natural scenes using toggle-mapping DOI : 10.1109/ICIP.2009.5413435
2008
Ultimate opening segmentation with shape constraints
2007
Colour adjacency histograms for image matching DOI : 10.1007/978-3-540-74272-2_53
2006
Waterfall segmentation of complex scenes DOI : 10.1007/11612032_89
2004
Robust perception algorithm for road and track autonomous following DOI : 10.1117/12.542998
2001
Content-dependent image sampling using mathematical morphology: Application to texture mapping DOI : 10.1016/S0923-5965(00)00037-0
2000
Partition-based image representation as basis for user-assisted segmentation
1999
Video object generation tool allowing friendly user interaction
1999
Toolbox for interactive segmentation based on nested partitions
1997
Bottom-up segmentation of image sequences for coding DOI : 10.1007/bf02998459
1997
Allowing content-based functionalities in segmentation-based coding schemes
1997
Segmentation-based video coding system allowing the manipulation of objects DOI : 10.1109/76.554418
1997
Segmentation of video sequences and rate control
1996
Segmentation-based coding system allowing manipulation of objects (sesame)
1996
Tracking areas of interest for content-based functionalities in segmentation-based video coding

Teaching

Elective Course Period (October and January)

Course Director

Image Analysis: From Theory to Practice

Course Director

The course includes a theoretical presentation on image filtering and segmentation tools in the morning and tutorials in the afternoon. Binary, grayscale, and color images, as well as 2- and 3-dimensional images, are covered. Examples drawn from a wide variety of real-world applications illustrate the capabilities of the tools presented.

Applied Mathematics: Robotics, Computer Vision, and Control Systems (MAREVA) track

Course Director

Second-Year Curriculum The courses and educational activities offered in the second year are the same for all students who have chosen the MAREVA program and take place in Paris. The second-year curriculum focuses on the study of Complex Systems: discrete-time dynamic systems, filtering and identification, embedded sensors and data fusion, image processing, and medical imaging. This module is supplemented by introductory lectures on robotics and ITS, virtual reality and augmented reality, C++ programming and graphical programming sessions, as well as mini-project sessions conducted in pairs, supervised by researchers from the centers, and applying the concepts covered in class. Here are a few examples of mini-projects completed in recent years: lateral control (Lane Keeping, ESP) and longitudinal control of a vehicle (ACC); color-sensor-based control of a small car on a white line; evaluation of a consumer motion-capture system (the Wiimote); 3D point cloud registration for digital mapping; modeling and stabilization of a diver; image editing based on hierarchical segmentation; modeling and control of construction cranes; estimation and control algorithms for a mobile robot developed by SAGEM; development of parking algorithms, validation, and testing using 3D graphics software; implementation of human-environment interactions in a virtual kitchen. Third-Year Curriculum In the third year, the activities for the month of October remain the same for all students. The first two weeks in Paris are devoted to courses, notably in computer vision and image processing in the automotive context, nonlinear control and its applications in robotics, humanoid robots, discrete-event systems, and systems with delays.... A one-week intensive course in computer vision and mathematical morphology held in November rounds out the training for the Computer Vision and Robotics specializations. The last two weeks of October are dedicated to mini-projects (at a more advanced level than those in the second year), as well as to the optional field trip during which students visit laboratories and companies. Over the past four years, the trip has been organized to Italy and the Rhône-Alpes region (STMicroelectronics, ISPRA, INRIA Rhône-Alpes, LAG ...), in the Nice and Monaco region (INRIA Sophia-Antipolis, Thalès Alénia Space, the Automata Museum ...), in Germany in Stuttgart and Munich (Bosch, Mercedes, German Aerospace ...), and in Toulouse (CNES, LAAS, Pierre Fabre Laboratories...), and in Bordeaux (LABRI, LAPS, Laser MégaJoule, Thales, EvTronic, BeTomorrow...). These trips provide excellent opportunities to establish valuable contacts for elective internships in the third year. Internship topics for the third year are pooled and proposed by faculty members from the school’s various applied mathematics centers (CAOR, CAS, CMA, CMM), often in connection with their collaborative projects with industry partners. It should be noted that each year, the number of internships offered far exceeds the number of students taking the elective! Some representative elective topics covered in recent years: Control Systems: Exo-atmospheric guidance of Ariane V – EADS (Control Systems); Signal processing using filter banks (IFP); Development of a method for analyzing ECG signals using inverse scattering (INRIA); Simulation and control of humanoid robots (ATR Computational Neuroscience Laboratory, Kyoto); Synthesis of flight control correctors for a supersonic aerobatic vehicle (ONERA); Validation of vehicle models for control and command (PSA) Quantification of maximum allowable disturbances on the control surfaces of a winged vehicle during atmospheric reentry (EADS) Parameter estimation for quantum systems (Princeton University) Optimization of electricity generation (EDF, Clamart) Sizing of natural gas transmission networks, (GdF Suez, Saint-Denis) Robotics: Computer Vision-Assisted Driving (INRIA/CAOR) Improving Road Safety and Comfort via Global Chassis Control (PSA) Identification of Available Traction for a Vehicle (NEXYAD, ARCOS project) Configuration of a force-feedback system in virtual reality (CEA/CAOR) Vehicle-to-infrastructure communication on highways (ASFA) Virtual vehicle coupling for convoy driving (INRIA) Development of a humanoid robot behavior editor (Aldebaran Robotics) Motion planning for humanoid robots (Joint Research Laboratory Tsukuba) Development of a social robot (Advanced Telecommunications Research, Kyoto) The Cybercars Olympics: a competition featuring smart vehicles on the “road of the future” in Saint-Brieuc (Côtes d’Armor General Council) Simulation and position estimation of a quadcopter drone (Parrot, Paris) Preparation of the French pavilion at the Shanghai World Expo on ITS Road traffic modeling, Millennium project (University of Berkeley) Neural algorithms for perception (MIT, Cambridge) Spherical vision sensor for autonomous mobile robotics (INRIA Sophia-Antipolis) Vision: Automatic image annotation (LTU, Paris) Indexing of medical images (CEA, Fontenay-aux-Roses) Environmental sensor for a telematics service (PSA, Vélizy) Segmentation of medical images for radiation therapy (Gustave Roussy Institute, Villejuif) Fingerprint image analysis (SAGEM, Eragny-sur-Oise) Analysis of sports video sequences (Thomson Broadcast, Breda, Netherlands) Compression/deconvolution optimization (Alcatel Space Industries, Cannes) Quantitative cytology and drug discovery (CSIRO, Sydney, Australia) 3D morphogenesis of the mouse kidney (Monash University, Clayton, Australia) Video scene interpretation (Bosch, Hildesheim, Germany) Geolocation of a landscape (Google Earth, USA) Quality control of photovoltaic glass (Saint-Gobain, China) Image analysis for studying the mechanical properties of bone (University of Adelaide, Australia) Special features of the track: Students greatly appreciate working on these mini-projects. It is an excellent way to deepen their understanding of and apply the concepts covered in class, as well as a great opportunity to meet researchers from the school’s various laboratories and gain their first—albeit limited—experience in the research environment.

PhD supervision

2025 Development of acoustic video analysis methods for the identification and quantification of fish in natural environments around energy infrastructures. ROLDAN FIGUEREDO Xabier Fabian
2025 Automatic classification of lake plankton for ecosystem functioning characterization DÉCHAUMET Léo
2023 A PRIORI GEOMETRIC FOR DEEP LEARNING MODELS IN 3D POINT CLOUDS ONGHENA Pierre
2018 3D urban scene understanding through LiDAR, color, and hyperspectral data analysis DUQUE David
2017 Automation of fracture line segmentation in X-rays using non-rigid registration and constrained segmentation techniques BOROCCO Albane
2017 Contributions to hierarchical analysis based on graphs for images and 3D point clouds GIGLI Leonardo
2016 Learning new representations for the semantic enrichment of 3D point clouds THOMAS Hugues