Analysis of MVD and color edge detection for depth maps enhacement
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099.1/10966
Tutor / directorMüller, Karsten
Tipus de documentProjecte/Treball Final de Carrera
Data2010-01-01
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
MVD (Multiview Video plus Depth) data consists of two components: color
video and depth maps sequences. Depth maps represent the spatial arrangement
(or three dimensional geometry) of the scene. The MVD representation
is used for rendering virtual views in FVV (Free Viewpoint Video) and for
3DTV (3-dimensional TeleVision) applications. Distortions of the silhouettes
of objects in the depth maps are a problem when rendering a stereo video
pair. This Master thesis presents a system to improve the depth component
of MVD . For this purpose, it introduces a new method called correlation
histograms for analyzing the two components of depth-enhanced 3D video
representations with special emphasis on the improved depth component.
This document gives a description of this new method and presents an analysis
of six di erent MVD data sets with di erent features. Moreover, a modular
and exible system for improving depth maps is introduced. The idea
behind is to use the color video component for extracting edges of the scene
and to re-shape the depth component according to the edge information.
The mentioned system basically describes a framework. Hence, it is capable
to admit changes on speci c tasks if the concrete target is respected. After
the improvement process, the MVD data is analyzed again via correlation
histograms in order to obtain characteristics of the depth improvement.
The achieved results show that correlation histograms are a good method
for analyzing the impact of processing MVD data. It is also con rmed that
the presented system is modular and exible, as it works with three di erent
degrees of change, introducing modi cations in depth maps, according
to the input characteristics. Hence, this system can be used as a framework
for depth map improvement. The results show that contours with 1-pixel
width jittering in depth maps have been correctly re-shaped. Additionally,
constant background and foreground areas of depth maps have also been improved
according to the degree of change, attaining better results in terms of
temporal consistency. However, future work can focus on unresolved problems,
such as jittering with more than one pixel width or by making the
system more dynamic.
Descripció
Prjecte final de carrera realitzat en col.laboració amb Fraunhofer Heinrich Hertz Institute
MatèriesThree-dimensional display systems, Image processing, Imatges -- Processament, Visualització tridimensional (Informàtica)
TitulacióENGINYERIA DE TELECOMUNICACIÓ (Pla 1992)
Fitxers | Descripció | Mida | Format | Visualitza |
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MasterThesis_JordiBayo.pdf | 29,33Mb | Visualitza/Obre |