Work

Implementing Automated Photogrammetry for the New Zealand eScience Infrastructure (NeSI) Facilities

Year: 2013

Type: conference-paper

Abstract: In this paper we discuss current work to implement automated photogrammetry software for the New Zealand eScience Infastructure (NeSI) high performance computing (HPC) facilities. While the problem of reconstructing a 3D scene from a set of 2D images has been well studied, relatively little research has been published on how to exploit HPC infrastructure in order to process very large scenes. Recent results have shown that many thousands of images can be processed to create reconstructions of large areas (Agarwal, et al., 2009). This work makes use of a cluster of computers, but relatively little information is provided as to how the various tasks are distributed among the nodes in the cluster. Other research has focussed on a single computer containing multiple processors, using of both traditional CPUs and graphics processing units (GPUs) to perform this task (Fram, et al., 2010).

Source: Otago University Research Archive (University of Otago)

Authors: Steven Mills, David Eyers, Zhiyi Huang, Kai‐Cheung Leung, Xiaoxin Tang

Institutions: University of Otago, Shanghai Jiao Tong University

Language: English

Topic: 3D Surveying and Cultural Heritage

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W108470655

FWCI:

Cites: 9

Cited by: 1

Related to: 10