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Myriam Servières
Professor at École Centrale Nantes
58%
Libre accès
12
Documents
Affiliations actuelles
- 1043354
Identifiants chercheurs
- mservier
- IdRef : 098589636
- 0000-0001-5749-1590
- Google Scholar : https://scholar.google.fr/citations?user=DRVKPtoAAAAJ&hl=fr
Présentation
My work is based on the scale of the pedestrian moving through open urban space and focuses on the connections that this point of view enables between the real world and a digital double of the city. This digital double provides information that can be displayed in the real world. Conversely, capturing the real world from a pedestrian's point of view enriches or even allows to simulate a digital double of the city. The main goal of my research was to develop a digital mediation system that uses urban data for a pedestrian immersed in the city. To display information on site, Augmented Reality (AR) seems to me to be one of the most suitable tools to enable this mediation. AR is based on reality and adds digital information that the user can interact with.
To realize an AR mediation tool with geolocalized data on site, the crucial element is the location of the pedestrian and, more precisely, the calculation of the pose (position and orientation) of the camera he is carrying. This geolocalization can be seen as a feedback loop with spatial data. The spatialized data of the city, especially the geometric ones, are an essential input for obtaining a geolocation, and once this geolocation is obtained, other data coming from the information extraction of images taken in the field will enrich these spatial databases. This part of my research lies at the intersection of geomatics and computer vision. This work lies at the crossroads of CNU sections 27 and 61, where I am both processing imagery to obtain location information cross-referenced to external sources and working with inertial signals. Most of my contributions deal with the problem of fine on-site pedestrian localization, with different input sources (from pure images alone to images augmented with 2D, then 2.5D and 3D GIS data as well as inertial data).
In my further work, I extend this study of pedestrians' interaction with open urban space by using other modalities on the continuum between realityand virtuality. Evaluating the perception of urban environments through digital technologies requires the development of an experimental approach ranging from a fully controlled environment in virtual reality to an uncontrolled environment on the ground. Recently, I have been interested in the perceptual representation of environmental effects in virtual urban worlds. In particular, I have been working on the perception of wind in virtual reality in an urban environment.
Finally, to qualify the perception of a pedestrian in an urban space, I am now working on deep learning qualification of the perception of a pedestrian in an urban space based on the analysis of 360° images of urban scenes. This interest in the automatic qualification of users' perception of urban spaces has led to a new research direction in my lab that deals with the visual perception and understanding of urban scenes in the context of qualifying the cities walkability.
Publications
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The Mojette Transform: Discrete Angles for TomographyElectronic Notes in Discrete Mathematics, 2005, Electronic Notes in Discrete Mathematics, 20, pp.587-606. ⟨10.1016/j.endm.2005.05.086⟩
Article dans une revue
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Mojette discrete tomography (chap 8)jeanpierre Guédon. The Mojette Transform: Theory and Applications, iste & wiley, 29 p., 2009, ISBN: 9781848210806
Chapitre d'ouvrage
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Validation of Mojette reconstruction from Radon acquisitionsInternational Conference on Image Processing, IEEE, Sep 2013, Melbourne, Australia. pp.1041-1045, ⟨10.1109/ICIP.2013.6738215⟩
Communication dans un congrès
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Interpolation method for the Mojette TransformMedical Imaging 2006: Physics of Medical Imaging, Feb 2006, San Diego, United States. pp.61424I, ⟨10.1117/12.651009⟩
Communication dans un congrès
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Conjugate gradient Mojette reconstructionSPIE Medical Imaging 2005 : Image Processing, Feb 2005, San Diego, CA, United States. pp.2067--2074, ⟨10.1117/12.593399⟩
Communication dans un congrès
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Noise behavior of Spline Mojette FBP reconstructionSPIE Medical Imaging 2005 : Image Processing, Feb 2005, San Diego, CA, United States. pp.2100-2109, ⟨10.1117/12.593390⟩
Communication dans un congrès
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How to obtain a lattice basis from a discrete projected spaceDiscrete Geometry for Computer Imagery, Apr 2005, Poitiers, France. pp.153-160, ⟨10.1007/b135490⟩
Communication dans un congrès
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Some links between continuous and discrete Radon transformMedical Imaging 2004, 2004, San Diego, United States. pp.1951--1960, ⟨10.1117/12.533472⟩
Communication dans un congrès
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The 3d mojette projector applied to pet and radiotherapy imagingIEEE ISBI, 2004, Washington, Unknown Region. pp.836--839
Communication dans un congrès
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Angular assessment of the Mojette filtered back projectionMedical Imaging 2004, 2004, San Diego, United States. pp.1951--1960, ⟨10.1117/12.533483⟩
Communication dans un congrès
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A Mojette Transform Approach to Discrete Medical TomographyFirst Malaysia-France Regional Workshop on Image Processing in Vision System and Multimedia Communication, Apr 2003, Kuching, Malaysia. pp.1--11
Communication dans un congrès
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A discrete tomography approach to PET reconstructionFully 3D Reconstruction In Radiology and Nuclear Medicine, 2003, Saint-Malo, France. pp.1--4
Communication dans un congrès
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