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Three‐dimensional modeling of coastal boulders using multi‐view image measurements
Author(s) -
Gienko Gennady A.,
Terry James P.
Publication year - 2013
Publication title -
earth surface processes and landforms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.294
H-Index - 127
eISSN - 1096-9837
pISSN - 0197-9337
DOI - 10.1002/esp.3485
Subject(s) - geology , computer science , field (mathematics) , photogrammetry , object (grammar) , property (philosophy) , structure from motion , measure (data warehouse) , texture (cosmology) , remote sensing , image (mathematics) , artificial intelligence , computer vision , motion (physics) , data mining , philosophy , mathematics , epistemology , pure mathematics
Coarse clastic sediments (boulders) on coastlines have seen a groundswell in geomorphic research interest over recent years, associated in part with the potential of boulder evidence for interpreting characteristics of high‐energy wave processes. Yet, the fundamental property of boulder volume is normally difficult to measure accurately owing to complex clast morphology and irregular surface texture. To tackle this problem, this paper concentrates on creating precise, measurable and textured three‐dimensional (3D) models of coastal boulders without physical contact with the object, based on multi‐view image measurement techniques. This method has several advantages over traditional measurements that are inaccurate or alternative solutions using costly techniques such as terrestrial laser scanning. Our methods propose the use of low‐cost equipment (digital cameras) that can be used in various coastal environments to easily acquire numerous images of the object of interest. Initial results can be rapidly assessed in the field for immediate quality control. Resulting 3D models, built from overlapping multi‐view digital photographs, allow the reconstruction of realistic‐looking and textured boulder surfaces. A particular interest in this task is the family of algorithms known as structure from motion (SFM). The work presents analysis of SFM techniques by examining 3D models of boulders observed at a coastal field site on Lu Dao Island in south‐eastern Taiwan. Copyright © 2013 John Wiley & Sons, Ltd.