Paper Info
Title
Photogrammetric Meshes and 3D Points Cloud Reconstruction: A Genetic Algorithm Optimization Procedure.
Abstract
Virtual reconstruction of heritage is one of the most interesting and innovative tool for preservation and keeping of historical, architectural and artistic memory of many sites that are in danger of disappearing. Find the best way to present an object in virtual reality is necessary for reasons linked to technology itself. In particular, the rendering of heavy object, in terms of details and meshes, influences the presentation of the whole virtual scene. Different researches have shown the onset of problems such as sickness due to an incorrect construction and representation of virtual scenes. In this paper we propose a 3D points cloud reconstruction method based on an optimization procedure by using genetic algorithm to improve the mesh obtained by low cost acquisition devices. The improved photogrammetric technique could be used to build virtual scenario by inexpensive devices (i.e. smartphone), without the cost and computational complexity of expensive devices.
Year
DOI
Venue
2016
10.1007/978-3-319-57711-1_6
ADVANCES IN ARTIFICIAL LIFE, EVOLUTIONARY COMPUTATION, AND SYSTEMS CHEMISTRY, WIVACE 2016
Field
DocType
Volume
Computer vision,Photogrammetry,Virtual reality,Polygon mesh,Artificial intelligence,Point cloud,Rendering (computer graphics),Geography,Genetic algorithm,Cloud computing,Computational complexity theory
Conference
708
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
0
12
Name
Order
Citations
PageRank
Vitoantonio Bevilacqua146866.40
Francesco Trotta2779.32
Antonio Brunetti3354.22
Giuseppe Buonamassa400.34
Martino Bruni530.74
Giancarlo Delfine600.34
Marco Riezzo731.08
Michele Amodio800.34
Giuseppe Bellantuono900.34
Domenico Magaletti1000.34
Luca Verrino1100.34
andrea guerriero12165.00