Fast and Accurate Refinement Method for 3D Reconstruction from Stereo Spherical Images

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116986" target="_blank" >RIV/00216305:26230/15:PU116986 - isvavai.cz</a>

Result on the web

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10866" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10866</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0005310805750583" target="_blank" >10.5220/0005310805750583</a>

Result language

angličtina

Original language name

Fast and Accurate Refinement Method for 3D Reconstruction from Stereo Spherical Images

Original language description

Realistic 3D models of the environment are beneficial in many fields, from natural or man-made structure inspection and volumetric analysis, to movie-making, in particular, special effects integration to natural scenes. Spherical cameras are becoming popular in environment modelling because they capture the full surrounding scene visible from the camera location as a consistent seamless image at once. In this paper, we propose a novel pipeline to obtain fast and accurate 3D reconstructions from spherical images. In order to have a better estimation of the structure, the system integrates a joint camera pose and structure refinement step. This strategy proves to be much faster, yet equally accurate, when compared to the conventional method, registration of a dense point cloud via iterative closest point (ICP). Both methods require an initial estimate for successful convergence. The initial positions of the 3D points are obtained from stereo processing of pair of spherical images with known baseline. The initial positions of the cameras are obtained from a robust wide-baseline matching procedure. The performance and accuracy of the 3D reconstruction pipeline is analysed through extensive tests on several indoor and outdoor datasets.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/7E13044" target="_blank" >7E13044: IMPART - Intelligent Management Platform for Advanced Real-Time media processes</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

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

Article name in the collection

Proceedings of the 10th International Conference on Computer Vision Theory and Applications

ISBN

978-989-8425-47-8

ISSN

—

e-ISSN

—

Number of pages

9

Pages from-to

1-8

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

Berlin

Event location

Berlin, Německo

Event date

Mar 11, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—