Home DE ES FR


Advanced Search

Our On-Line PhDs

Submit a Thesis
My Account Register Help

About
Fields
Mathematics and Applications
Information and Communication Sciences and Technologies
Physics, Optics
Materials Science, Mechanics and Mechanical Engineering
Fluid Mechanics and Energy
Chemistry, Physical Chemistry and Chemical Engineering
Life Sciences and Engineering
Earth Sciences and Environmental Engineering
Sciences of Economy, Management and Society
Tracking of hidden parts in video sequences and other problems raised by the 3D reconstruction of the urban environment

Dupont, Romain (2006) Tracking of hidden parts in video sequences and other problems raised by the 3D reconstruction of the urban environment. PhD thesis, ENPC.

Full text available as:

- these_final.pdf ( 11795 Kb )
Licence: Copyright

Abstract

This thesis deals with the urban environment reconstruction through the use of cameras and telemetric sensors. First, we focus on the spatiotemporal segmentation of video sequences in order to treat photographic data. We present a new technique of layer segmentation which extracts regions of similar parametric motion in a video sequence. It is based on temporal constraints defined and optimized over all images simultaneously and not successively, without any a priori on the observed scene. Taking advantage of temporal continuity, our framework considers both the visible and the hidden parts of each layer in order to increase robustness. The hidden parts of the layers are recovered, which could be of a great help in many high level vision tasks. Modeling the problem as a labeling task, we state it in a MRF-optimization framework and solve it with a graph-cut algorithm. Both synthetic and real video sequences show a visible layers extraction comparable to the one usually performed by state of the art methods, as well as a novel and successful segmentation of hidden layers.
Secondly, we consider the use of heterogeneous telemetric and photographic data, in the same framework to obtain a 3D and textural reconstruction of the urban scenes. It has proved to be a powerful technique. A necessary condition to obtain good results is to calibrate accurately the single-row based telemetric sensor and the cameras together. We present a study of this calibration process and propose an improved extrinsic calibration technique. It is based on an existing technique which consists in scanning a planar pattern in several poses, giving a set of relative position and orientation constraints. The innovation is the use of a more appropriate laser beam distance between telemetric points and the planar target. Moreover, we use robust methods to manage outliers at several steps of the algorithm. Improved results on both theoretical and experimental data are given.

Item Type:PhD Thesis (PhD)
Thesis Supervisor:Fuchs, Philippe and Keriven, Renaud
Date:December 2006
Board of examiners:Nashashibi, Fawzi and Schmitt, Francis and Paragios, Nikos and Chavand, Florent and Fuchs, Philippe and Keriven, Renaud
Collection (Fonds):ENPC
Institution:ENPC
Subjects:1. Mathematics and Applications
Uncontrolled Keywords:3D Reconstruction, Urban Environnement, Video and Image Processing, Telemetry, Calibration, Spatiotemporal Segmentation, Motion Analysis, Layer Extraction, Reconstruction Tridimensionnelle, Environnement Urbain, Traitement d'Image et de Séquences Vidéos, Télémétrie, Calibration Extrinsèque, Segmentation Spatiotemporelle, Analyse du Mouvement, Extraction des Couches Visibles et Cachées
ID Code:2357
Deposited By:Christiane Baudry
Deposited On:17 April 2007

Statistiques de consultation

Repository Staff Only: edit this item

© ParisTech 2007 - Réalisé par RILK.com - Graphisme par Winch Communication