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Proceedings ArticleDOI

A geometric approach to the segmentation and reconstruction of acoustic three-dimensional data

Vittorio Murino, +2 more
- Vol. 1, pp 582-586
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TLDR
This paper presents a technique for the segmentation of three-dimensional images acquired by an acoustical camera that exploits the geometrical properties embedded in the sparse and noisy 3D information available to group the points which better fit the current quadric surface.
Abstract
This paper presents a technique for the segmentation of three-dimensional (3D) images acquired by an acoustical camera. The proposed algorithm identifies first the most reliable image points likely corresponding to man-made objects, and, second, determines the points belonging to the same surface. Actually, it exploits the geometrical properties embedded in the sparse and noisy 3D information available to group the points which better fit the current quadric surface. This algorithm can be applied for the reconstruction of virtual environments from acoustic data, useful for robotic applications (e.g., vehicle navigation). Results on synthetic and real acoustic images are promising.

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Citations
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Journal ArticleDOI

Three-dimensional image generation and processing in underwater acoustic vision

TL;DR: The state of-the art of the techniques and algorithms for acoustic image generation and processing are established, providing technical details and results for the most promising techniques, and pointing out the potential capabilities of this technology for underwater scene understanding are established.
Proceedings ArticleDOI

Segmentation of underwater 3D acoustical images for augmented and virtual reality applications

TL;DR: An algorithm devoted to the segmentation of acoustic three-dimensional sparse images providing a virtual representation of the recognized objects in order to support a human operator for the navigation and inspection of underwater environments.
Book ChapterDOI

Three-dimensional underwater acoustical imaging and processing

TL;DR: The purpose is to present a brief survey concerning the generation and processing of acoustic images for underwater applications, especially focusing on algorithms for three-dimensional (3-D) imaging.
Proceedings ArticleDOI

Augmented representation of underwater scenes by segmentation and reconstruction of 3D acoustic images

TL;DR: The system is composed of several modules devoted to noise filtering, segmentation in pipe-shaped structures, recognition and reconstruction, and backprojected in the acoustic image in order to facilitate its interpretation.
References
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Proceedings ArticleDOI

Automated error detection in multibeam bathymetry data

S. Shaw, +1 more
TL;DR: Two algorithms for identifying subtle outlier errors in a variety of multibeam swath sounding systems are developed, based on robust estimation of autoregressive (AR) model parameters and energy minimization techniques.
Proceedings ArticleDOI

Segmentation of multibeam acoustic imagery in the exploration of the deep sea-bottom

TL;DR: A method of semi-automatic mosaic interpretation where the two different aspects are considered simultaneously is described by supervised segmentation using a Markov Random Field model where the neighbourhood system and energies have been carefully studied in order to comply to a priori knowledge.
Proceedings ArticleDOI

Three-dimensional acoustical imaging using micromechanical hydrophones

TL;DR: In this paper, the authors describe aspects of the design of a 3D acoustic imaging system for use in turbid waters based upon recently-developed micromechanical hydrophones, which is selective in two spatial axes (azimuth and elevation) and one temporal dimension (time/range).
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