3-D motion estimation in passive navigation by acoustic imaging

Hassan Assalih; Shahriar Negahdaripour; Yvan Petillot

doi:10.1109/OCEANS.2010.5664503

3-D motion estimation in passive navigation by acoustic imaging

Hassan Assalih, Shahriar Negahdaripour, Yvan Petillot

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we introduce a new method to tackle Motion Estimation, Correspondence Problem and 3D Reconstruction in underwater environments using an acoustic camera, such as, a DIDSON camera. Here, we mainly focus on motion estimation. We introduce the background on the new concepts of sampling a DIDSON arc and the Modified District Uniform Distribution (MDUD). The motion estimation methodology utilizes weighted-Hough array in choosing a solution from among many potential candidates. ©2010 IEEE.

Original language	English
Title of host publication	MTS/IEEE Seattle, OCEANS 2010
DOIs	https://doi.org/10.1109/OCEANS.2010.5664503
Publication status	Published - 2010
Event	MTS/IEEE Seattle, OCEANS 2010 - Seattle, WA, United States Duration: 20 Sept 2010 → 23 Sept 2010

Conference

Conference	MTS/IEEE Seattle, OCEANS 2010
Country/Territory	United States
City	Seattle, WA
Period	20/09/10 → 23/09/10

Keywords

Acoustic imaging
Motion estimation
Underwater imaging

Access to Document

10.1109/OCEANS.2010.5664503

Cite this

@inproceedings{8888fc7a586a46ceae27d8e88e6aafe9,

title = "3-D motion estimation in passive navigation by acoustic imaging",

abstract = "In this paper, we introduce a new method to tackle Motion Estimation, Correspondence Problem and 3D Reconstruction in underwater environments using an acoustic camera, such as, a DIDSON camera. Here, we mainly focus on motion estimation. We introduce the background on the new concepts of sampling a DIDSON arc and the Modified District Uniform Distribution (MDUD). The motion estimation methodology utilizes weighted-Hough array in choosing a solution from among many potential candidates. {\textcopyright}2010 IEEE.",

keywords = "Acoustic imaging, Motion estimation, Underwater imaging",

author = "Hassan Assalih and Shahriar Negahdaripour and Yvan Petillot",

year = "2010",

doi = "10.1109/OCEANS.2010.5664503",

language = "English",

isbn = "9781424443321",

booktitle = "MTS/IEEE Seattle, OCEANS 2010",

note = "MTS/IEEE Seattle, OCEANS 2010 ; Conference date: 20-09-2010 Through 23-09-2010",

}

TY - GEN

T1 - 3-D motion estimation in passive navigation by acoustic imaging

AU - Assalih, Hassan

AU - Negahdaripour, Shahriar

AU - Petillot, Yvan

PY - 2010

Y1 - 2010

N2 - In this paper, we introduce a new method to tackle Motion Estimation, Correspondence Problem and 3D Reconstruction in underwater environments using an acoustic camera, such as, a DIDSON camera. Here, we mainly focus on motion estimation. We introduce the background on the new concepts of sampling a DIDSON arc and the Modified District Uniform Distribution (MDUD). The motion estimation methodology utilizes weighted-Hough array in choosing a solution from among many potential candidates. ©2010 IEEE.

AB - In this paper, we introduce a new method to tackle Motion Estimation, Correspondence Problem and 3D Reconstruction in underwater environments using an acoustic camera, such as, a DIDSON camera. Here, we mainly focus on motion estimation. We introduce the background on the new concepts of sampling a DIDSON arc and the Modified District Uniform Distribution (MDUD). The motion estimation methodology utilizes weighted-Hough array in choosing a solution from among many potential candidates. ©2010 IEEE.

KW - Acoustic imaging

KW - Motion estimation

KW - Underwater imaging

UR - http://www.scopus.com/inward/record.url?scp=78651290268&partnerID=8YFLogxK

U2 - 10.1109/OCEANS.2010.5664503

DO - 10.1109/OCEANS.2010.5664503

M3 - Conference contribution

SN - 9781424443321

BT - MTS/IEEE Seattle, OCEANS 2010

T2 - MTS/IEEE Seattle, OCEANS 2010

Y2 - 20 September 2010 through 23 September 2010

ER -

3-D motion estimation in passive navigation by acoustic imaging

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this