Abstract
Utilizing in situ measurements to build 3-D volumetric object models under variety of turbidity conditions is highly desirable for marine sciences. Feature-based structure from motion and stereo methods can become ineffective under poor visibility, where matches cannot be reliably identified in low contrast optical images. To address this, a solution is proposed by utilizing a multi-modal stereo imaging technique with coincident optical and sonar cameras. Moreover, the challenges of establishing the complex opti-acoustic correspondences are avoided, by employing 2-D occluding contours that are the images of 3-D object rims as structural features. As we circle our target object, we process matching 2-D apparent contours to construct the corresponding 3-D object rim, and compute the trajectory of the stereo rig by optiacoustic bundle adjustment in order to transform the 3-D object rims into registered samples of the object surface in a reference coordinate system. In addition to exploiting range measurements from sonar that offer unique advantages, the proposed paradigm enables computing both the 3-D positions and local surface normals of 3-D contours, leading to improved object reconstruction accuracy. We demonstrate the performance of our method based on the 3-D surface rendering of certain objects, imaged by an underwater opti-acoustic stereo system.
| Original language | English |
|---|---|
| Title of host publication | OCEANS 2013 MTS/IEEE - San Diego: An Ocean in Common |
| Publisher | IEEE Computer Society |
| State | Published - Jan 1 2013 |
| Event | OCEANS 2013 MTS/IEEE San Diego Conference: An Ocean in Common - San Diego, CA, United States Duration: Sep 23 2013 → Sep 26 2013 |
Other
| Other | OCEANS 2013 MTS/IEEE San Diego Conference: An Ocean in Common |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 9/23/13 → 9/26/13 |
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ASJC Scopus subject areas
- Ocean Engineering
Cite this
3-D object modeling from occluding contours in opti-acoustic stereo images. / Babaee, M.; Negahdaripour, Shahriar.
OCEANS 2013 MTS/IEEE - San Diego: An Ocean in Common. IEEE Computer Society, 2013. 6741221.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - 3-D object modeling from occluding contours in opti-acoustic stereo images
AU - Babaee, M.
AU - Negahdaripour, Shahriar
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Utilizing in situ measurements to build 3-D volumetric object models under variety of turbidity conditions is highly desirable for marine sciences. Feature-based structure from motion and stereo methods can become ineffective under poor visibility, where matches cannot be reliably identified in low contrast optical images. To address this, a solution is proposed by utilizing a multi-modal stereo imaging technique with coincident optical and sonar cameras. Moreover, the challenges of establishing the complex opti-acoustic correspondences are avoided, by employing 2-D occluding contours that are the images of 3-D object rims as structural features. As we circle our target object, we process matching 2-D apparent contours to construct the corresponding 3-D object rim, and compute the trajectory of the stereo rig by optiacoustic bundle adjustment in order to transform the 3-D object rims into registered samples of the object surface in a reference coordinate system. In addition to exploiting range measurements from sonar that offer unique advantages, the proposed paradigm enables computing both the 3-D positions and local surface normals of 3-D contours, leading to improved object reconstruction accuracy. We demonstrate the performance of our method based on the 3-D surface rendering of certain objects, imaged by an underwater opti-acoustic stereo system.
AB - Utilizing in situ measurements to build 3-D volumetric object models under variety of turbidity conditions is highly desirable for marine sciences. Feature-based structure from motion and stereo methods can become ineffective under poor visibility, where matches cannot be reliably identified in low contrast optical images. To address this, a solution is proposed by utilizing a multi-modal stereo imaging technique with coincident optical and sonar cameras. Moreover, the challenges of establishing the complex opti-acoustic correspondences are avoided, by employing 2-D occluding contours that are the images of 3-D object rims as structural features. As we circle our target object, we process matching 2-D apparent contours to construct the corresponding 3-D object rim, and compute the trajectory of the stereo rig by optiacoustic bundle adjustment in order to transform the 3-D object rims into registered samples of the object surface in a reference coordinate system. In addition to exploiting range measurements from sonar that offer unique advantages, the proposed paradigm enables computing both the 3-D positions and local surface normals of 3-D contours, leading to improved object reconstruction accuracy. We demonstrate the performance of our method based on the 3-D surface rendering of certain objects, imaged by an underwater opti-acoustic stereo system.
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M3 - Conference contribution
BT - OCEANS 2013 MTS/IEEE - San Diego: An Ocean in Common
PB - IEEE Computer Society
ER -