3-D Motion Estimation in passive navigation by acoustic imaging

Hassan Assalih; Shahriar Negahdaripour; Yvan Petillot

doi:10.1109/OCEANS.2010.5664503

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Conference proceeding

3-D Motion Estimation in passive navigation by acoustic imaging

Hassan Assalih, Shahriar Negahdaripour and Yvan Petillot

OCEANS 2010 MTS/IEEE SEATTLE, pp.1-6

2010-09

DOI: https://doi.org/10.1109/OCEANS.2010.5664503

Abstract

acoustic imaging

Cameras

Motion estimation

Sea measurements

Sonar measurements

underwater imaging

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.

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Title: 3-D Motion Estimation in passive navigation by acoustic imaging
Creators: Hassan Assalih - Ocean Syst. Lab., Heriot Watt Univ., Edinburgh, UK
Shahriar Negahdaripour - ECE Dept., Univ. of Miami, Coral Gables, FL, USA
Yvan Petillot - Ocean Syst. Lab., Heriot Watt Univ., Edinburgh, UK
Publication Details: OCEANS 2010 MTS/IEEE SEATTLE, pp.1-6
Publisher: IEEE
Academic Unit: College of Engineering; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Conference proceeding
Record Identifier: 991031620056802976