
Proceedings Paper
Evaluation of image collection requirements for 3D reconstruction using phototourism techniques on sparse overhead dataFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Phototourism is a burgeoning field that uses collections of ground-based photographs to construct a three-dimensional
model of a tourist site, using computer vision techniques. These techniques capitalize on the extensive overlap generated
by the various visitor-acquired images from which a three-dimensional point cloud can be generated. From there, a
facetized version of the structure can be created. Remotely sensed data tends to focus on nadir or near nadir imagery
while trying to minimize overlap in order to achieve the greatest ground coverage possible during a data collection. A
workflow is being developed at Digital Imaging and Remote Sensing (DIRS) Group at the Rochester Institute of
Technology (RIT) that utilizes these phototourism techniques, which typically use dense coverage of a small object or
region, and applies them to remotely sensed imagery, which involves sparse data coverage of a large area. In addition
to this, RIT has planned and executed a high-overlap image collection, using the RIT WASP system, to study the
requirements needed for such three-dimensional reconstruction efforts. While the collection was extensive, the intention
was to find the minimum number of images and frame overlap needed to generate quality point clouds. This paper will
discuss the image data collection effort and what it means to generate and evaluate a quality point cloud for
reconstruction purposes.
Paper Details
Date Published: 14 May 2012
PDF: 9 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83900K (14 May 2012); doi: 10.1117/12.919319
Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 9 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83900K (14 May 2012); doi: 10.1117/12.919319
Show Author Affiliations
Erin Ontiveros, Rochester Institute of Technology (United States)
Carl Salvaggio, Rochester Institute of Technology (United States)
David Nilosek, Rochester Institute of Technology (United States)
Carl Salvaggio, Rochester Institute of Technology (United States)
David Nilosek, Rochester Institute of Technology (United States)
Nina Raqueño, Rochester Institute of Technology (United States)
Jason Faulring, Rochester Institute of Technology (United States)
Jason Faulring, Rochester Institute of Technology (United States)
Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)
© SPIE. Terms of Use
