Automated City Modeling from Omnidirectional Image Sequences - PhD Thesis Proposal

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03134591" target="_blank" >RIV/68407700:21230/07:03134591 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automated City Modeling from Omnidirectional Image Sequences - PhD Thesis Proposal

Popis výsledku v původním jazyce

City models are needed in many areas of human activities including urban planning, virtual reality, and architecture preservation. Aerial, ground level, and omnidirectional city modeling techniques are compared and their main advantages and disadvantagesare presented. We also show several city modeling systems and address their novelties as well as their limitations. Next, we present our previous work dealing with a step towards a 3D reconstruction system for city modeling from omnidirectional video sequences using structure from motion together with stereo constraints. We concentrate on two issues. First, we show how the tracking and reconstruction paradigm were adapted to use omnidirectional images taken by lenses with 180 degrees field of view. Secondly, we compare the results of the reconstruction using additional stereo constraints to the results when these constraints are not used.

Název v anglickém jazyce

Automated City Modeling from Omnidirectional Image Sequences - PhD Thesis Proposal

Popis výsledku anglicky

City models are needed in many areas of human activities including urban planning, virtual reality, and architecture preservation. Aerial, ground level, and omnidirectional city modeling techniques are compared and their main advantages and disadvantagesare presented. We also show several city modeling systems and address their novelties as well as their limitations. Next, we present our previous work dealing with a step towards a 3D reconstruction system for city modeling from omnidirectional video sequences using structure from motion together with stereo constraints. We concentrate on two issues. First, we show how the tracking and reconstruction paradigm were adapted to use omnidirectional images taken by lenses with 180 degrees field of view. Secondly, we compare the results of the reconstruction using additional stereo constraints to the results when these constraints are not used.

Druh

O - Ostatní výsledky

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/GA201%2F07%2F1136" target="_blank" >GA201/07/1136: Matematika neurčitosti</a><br>

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2007

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů