Fusion of 3D Data from Different Image-based and Range-based Sources for Efficient Heritage Recording

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Date
2015
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Publisher
IEEE
Abstract
The rapid proliferation of three-dimensional (3D) data acquisition techniques based either on image-based approaches or on range-based approaches is changing the way cultural heritage is recorded. Independently of the technique selected, low-cost structure-from-motion (SfM) photogrammetric computer vision, stereo-plotting, surveying either with measuring tape, total station or global navigation satellite system (GNSS), up to laser scanning/LiDAR/RADAR, among others, there is a need to fuse efficiently different datasets. This research aims to test the fusion performance of the new 3DVEM - Register GEO software for the recording of a complex sculpture. The fusion of data will consider several point clouds acquired with a terrestrial laser scanner and one high-resolution point cloud generated with SfM software. The registration process is performed to merge all the data in a final homogeneous framework (reference system). The results obtained will be used to create a high-resolution 3D model of the sculpture from the consolidated data.
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@inproceedings{
10.1109:DigitalHeritage.2015.7413840
, booktitle = {
International Congress on Digital Heritage - Theme 1 - Digitization And Acquisition
}, editor = {
Gabriele Guidi and Roberto Scopigno and Fabio Remondino
}, title = {{
Fusion of 3D Data from Different Image-based and Range-based Sources for Efficient Heritage Recording
}}, author = {
Muñumer, Estibaliz
and
Lerma, José Luis
}, year = {
2015
}, publisher = {
IEEE
}, ISBN = {
978-1-5090-0048-7
}, DOI = {
10.1109/DigitalHeritage.2015.7413840
} }
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