Abstract
A method [Sarafraz 2012] for estimating the 3D shape of underwater objects as well as the water surface using a structured light technique was recently introduced. The method employs a projector above water and a camera located under water to simultaneously estimate both the water surface elevation and the topography of the sea floor. It requires only a single image and thus can be applied to dynamic as well as static scenes. In order to study the behavior of the proposed method in the presence of error in the input parameters, in this paper we will assess the performance of the proposed method through a sensitivity analysis for different parameters of the suggested model. We have examined the topographic reconstruction method using absolute and relative sensitivity functions. We found that there were regions of the angular parameter space for which the solutions were highly sensitive to the input parameters.
| Original language | English (US) |
|---|---|
| Title of host publication | American Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013 |
| Pages | 625-632 |
| Number of pages | 8 |
| State | Published - 2013 |
| Event | American Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013 - Baltimore, MD, United States Duration: Mar 26 2013 → Mar 28 2013 |
Other
| Other | American Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013 |
|---|---|
| Country | United States |
| City | Baltimore, MD |
| Period | 3/26/13 → 3/28/13 |
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Keywords
- 3D reconstruction
- Sensitivity analysis
- Structured light
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
Cite this
Performance assessment of an underwater topographic reconstruction method. / Sarafraz, Amin; Haus, Brian K.
American Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013. 2013. p. 625-632.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Performance assessment of an underwater topographic reconstruction method
AU - Sarafraz, Amin
AU - Haus, Brian K
PY - 2013
Y1 - 2013
N2 - A method [Sarafraz 2012] for estimating the 3D shape of underwater objects as well as the water surface using a structured light technique was recently introduced. The method employs a projector above water and a camera located under water to simultaneously estimate both the water surface elevation and the topography of the sea floor. It requires only a single image and thus can be applied to dynamic as well as static scenes. In order to study the behavior of the proposed method in the presence of error in the input parameters, in this paper we will assess the performance of the proposed method through a sensitivity analysis for different parameters of the suggested model. We have examined the topographic reconstruction method using absolute and relative sensitivity functions. We found that there were regions of the angular parameter space for which the solutions were highly sensitive to the input parameters.
AB - A method [Sarafraz 2012] for estimating the 3D shape of underwater objects as well as the water surface using a structured light technique was recently introduced. The method employs a projector above water and a camera located under water to simultaneously estimate both the water surface elevation and the topography of the sea floor. It requires only a single image and thus can be applied to dynamic as well as static scenes. In order to study the behavior of the proposed method in the presence of error in the input parameters, in this paper we will assess the performance of the proposed method through a sensitivity analysis for different parameters of the suggested model. We have examined the topographic reconstruction method using absolute and relative sensitivity functions. We found that there were regions of the angular parameter space for which the solutions were highly sensitive to the input parameters.
KW - 3D reconstruction
KW - Sensitivity analysis
KW - Structured light
UR - http://www.scopus.com/inward/record.url?scp=84887878396&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887878396&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84887878396
SN - 9781629930718
SP - 625
EP - 632
BT - American Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013
ER -