Abstract
Producing high-resolution underwater imagery in range of visibility conditions is a capability of critical demand for a number of applications. New generation of forward-scan acoustic video cameras, becoming available for commercial applications in recent years, produce images with considerably more target details than optical systems in turbid waters. Previous computer processing of sonar imagery has dominantly involved target segmentation, classification and recognition by exploiting 2D visual cues from texture, or object/shadow shape in a single frame. Processing of video is becoming more and more important because of various applications that involve target tracking, object identification in search and inspection, self localization and mapping, among many other applications. This paper addresses the image registration problem for acoustic video, and the preprocessing steps to be applied to the raw video from a DID-SON acoustic camera for image calibration, filtering and enhancement to achieve reliable results.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 452-459 |
| Number of pages | 8 |
| ISBN (Print) | 0769523196, 9780769523194 |
| DOIs | |
| State | Published - 2005 |
| Event | 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 - Victoria, Canada Duration: May 9 2005 → May 11 2005 |
Other
| Other | 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 |
|---|---|
| Country | Canada |
| City | Victoria |
| Period | 5/9/05 → 5/11/05 |
Fingerprint
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Software
Cite this
On processing and registration of forward-scan acoustic video imagery. / Negahdaripour, Shahriar; Firoozfam, P.; Sabzmeydani, P.
Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005. Institute of Electrical and Electronics Engineers Inc., 2005. p. 452-459 1443165.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - On processing and registration of forward-scan acoustic video imagery
AU - Negahdaripour, Shahriar
AU - Firoozfam, P.
AU - Sabzmeydani, P.
PY - 2005
Y1 - 2005
N2 - Producing high-resolution underwater imagery in range of visibility conditions is a capability of critical demand for a number of applications. New generation of forward-scan acoustic video cameras, becoming available for commercial applications in recent years, produce images with considerably more target details than optical systems in turbid waters. Previous computer processing of sonar imagery has dominantly involved target segmentation, classification and recognition by exploiting 2D visual cues from texture, or object/shadow shape in a single frame. Processing of video is becoming more and more important because of various applications that involve target tracking, object identification in search and inspection, self localization and mapping, among many other applications. This paper addresses the image registration problem for acoustic video, and the preprocessing steps to be applied to the raw video from a DID-SON acoustic camera for image calibration, filtering and enhancement to achieve reliable results.
AB - Producing high-resolution underwater imagery in range of visibility conditions is a capability of critical demand for a number of applications. New generation of forward-scan acoustic video cameras, becoming available for commercial applications in recent years, produce images with considerably more target details than optical systems in turbid waters. Previous computer processing of sonar imagery has dominantly involved target segmentation, classification and recognition by exploiting 2D visual cues from texture, or object/shadow shape in a single frame. Processing of video is becoming more and more important because of various applications that involve target tracking, object identification in search and inspection, self localization and mapping, among many other applications. This paper addresses the image registration problem for acoustic video, and the preprocessing steps to be applied to the raw video from a DID-SON acoustic camera for image calibration, filtering and enhancement to achieve reliable results.
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U2 - 10.1109/CRV.2005.57
DO - 10.1109/CRV.2005.57
M3 - Conference contribution
SN - 0769523196
SN - 9780769523194
SP - 452
EP - 459
BT - Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005
PB - Institute of Electrical and Electronics Engineers Inc.
ER -