Referenced Items are not available for this document.
The purpose of this research is to show how common computer vision techniques can be implemented in such a way that it is possible to automate the process of analytical photogram-metry. This work develops a workflow that generates a sparse three-dimensional point cloud from a bundle of images using SIFT, RANSAC, and a sparse bundle adjustment along with basic photogrammetric methods. It then goes on to show how the output of the sparse reconstruction method can be used to generate denser three-dimensional point clouds that can be facetized and turned into high resolution three-dimensional models. This workflow was successfully tested on a five image dataset taken with RIT's WASP imaging sensor over the Van Lare wastewater treatment plant in Rochester, NY.
Published in:
Image Processing Workshop (WNYIPW), 2010 Western New York
Date of Conference: 5-5 Nov. 2010
- Page(s):
- 1 - 5
- Print ISBN:
- 978-1-4244-9298-5
- INSPEC Accession Number:
- 11732937
- Conference Location :
- Rochester, NY
- Digital Object Identifier :
- 10.1109/WNYIPW.2010.5649777
- Product Type:
- Conference Publications
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