About: Refinement of Surface Mesh for Accurate Multi-View Reconstruction

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper we propose a pipeline for accurate 3D reconstruction from multiple images that deals with some of the possible sources of inaccuracy present in the input data. Namely, we address the problem of inaccurate camera calibration by including a method adjusting the camera parameters in a global structure-and-motion problem, which is solved with a depth map for representation that is suitable to large scenes. Secondly, we take the triangular mesh and calibration improved by the global method in the first phase to refine the surface both geometrically and radiometrically. Here we propose surface energy which combines photoconsistency with contour matching and minimize it with a gradient descent method. Our main contribution lies in effective computation of the gradient that naturally regularization and data terms by employing scale space approach. The results are demonstrated on standard high-resolution datasets and a complex outdoor scene. In this paper we propose a pipeline for accurate 3D reconstruction from multiple images that deals with some of the possible sources of inaccuracy present in the input data. Namely, we address the problem of inaccurate camera calibration by including a method adjusting the camera parameters in a global structure-and-motion problem, which is solved with a depth map for representation that is suitable to large scenes. Secondly, we take the triangular mesh and calibration improved by the global method in the first phase to refine the surface both geometrically and radiometrically. Here we propose surface energy which combines photoconsistency with contour matching and minimize it with a gradient descent method. Our main contribution lies in effective computation of the gradient that naturally regularization and data terms by employing scale space approach. The results are demonstrated on standard high-resolution datasets and a complex outdoor scene. (en)
Title	Refinement of Surface Mesh for Accurate Multi-View Reconstruction Refinement of Surface Mesh for Accurate Multi-View Reconstruction (en)
skos:prefLabel	Refinement of Surface Mesh for Accurate Multi-View Reconstruction Refinement of Surface Mesh for Accurate Multi-View Reconstruction (en)
skos:notation	RIV/68407700:21230/10:00164986!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita	R V Z
http://linked.open...avai/riv/aktivity	R, V, Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Tyleček, Radim Šára, Radim
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	284329
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/10:00164986
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Structure from motion; dense 3D reconstruction; multi-view; mesh refinement (en)
http://linked.open.../riv/klicoveSlovo	Structure from motion multi-view dense 3D reconstruction mesh refinement
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[2964D74BA3B3]
http://linked.open...i/riv/nazevZdroje	The International Journal of Virtual Reality
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	9
http://linked.open...iv/tvurceVysledku	Tyleček, Radim Šára, Radim
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
issn	1081-1451
number of pages	10 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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