Stereoscopic System for 3-D Seabed Mosaic Reconstruction

Leone, Alessandro; Diraco, Giovanni; Distante, Cosimo

doi:10.1109/icip.2007.4379212

Cited by 10 publications

(9 citation statements)

References 13 publications

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“…The use of three synchronized cameras [14] represents a good compromise between accuracy and device dimensions, where the underwater survey has to be conducted by a scuba diver. Movie or still cameras, lodged in water-proof housings, are used in seabed mapping [15] and surveys of archaeological sites [16]. Structure-from-motion techniques are used to reconstruct a scene from a sequence of overlapping images acquired by a single moving camera, for example in coral reef survey [2].…”

Section: Related Workmentioning

confidence: 99%

“…The refraction can be considered through the explicit modelling of the optical paths using ray tracing [13] or with the implicit incorporation of the refraction effect into camera calibration parameters [14]. In the first case, the cameras are calibrated in air, and then calibrated in water to derive the geometry of the refractive interfaces, since the principal component of both refractive effect and image distortion is radial [15]. Although the assumption on the refractive indices for the acrylic dome port and the internal air path is reliable, the changes in temperature, pressure, and salinity of the water can cause small variations in the refractive index of the media that cannot be avoided.…”

Section: Related Workmentioning

confidence: 99%

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A Comparative Analysis between Active and Passive Techniques for Underwater 3D Reconstruction of Close-Range Objects

Bianco

Gallo

Bruno

et al. 2013

Sensors

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In some application fields, such as underwater archaeology or marine biology, there is the need to collect three-dimensional, close-range data from objects that cannot be removed from their site. In particular, 3D imaging techniques are widely employed for close-range acquisitions in underwater environment. In this work we have compared in water two 3D imaging techniques based on active and passive approaches, respectively, and whole-field acquisition. The comparison is performed under poor visibility conditions, produced in the laboratory by suspending different quantities of clay in a water tank. For a fair comparison, a stereo configuration has been adopted for both the techniques, using the same setup, working distance, calibration, and objects. At the moment, the proposed setup is not suitable for real world applications, but it allowed us to conduct a preliminary analysis on the performances of the two techniques and to understand their capability to acquire 3D points in presence of turbidity. The performances have been evaluated in terms of accuracy and density of the acquired 3D points. Our results can be used as a reference for further comparisons in the analysis of other 3D techniques and algorithms.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Comparative Analysis between Active and Passive Techniques for Underwater 3D Reconstruction of Close-Range Objects

Bianco

Gallo

Bruno

et al. 2013

Sensors

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“…The observation of this principle has lead to the development of photogrammetric techniques based on the triangulation of corresponding points on the two views. Stereo systems may be installed on underwater robots or used by scuba divers, and are widely employed in many applications like seabed mapping with 3D mosaicking (Leone et al, 2006), and in situ estimation of the length of marine organisms (Harvey and Shortis, 1995). Monocular systems use a single camera to take multiple overlapping shots of the scene, in order to survey archaeological sites (Drap et al, 2007), and to measure three-dimensional biological objects (Bythell et al, 2001).…”

Section: Passive Techniquesmentioning

confidence: 99%

Experimentation of structured light and stereo vision for underwater 3D reconstruction

Bruno

Bianco

Muzzupappa

et al. 2011

ISPRS Journal of Photogrammetry and Remote Sensing

210

117

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“…The disparity of stereo images can be exploited to generate 3D models, as shown in [16,17]. Leone et al [18] present a 3D reconstruction method for an asynchronous stereo vision system. Although the 3D reconstruction achieved by underwater stereo vision may be satisfactory to represent a scene, its accuracy is not generally sufficient for the detailed perception required in object detection and recognition.…”

Section: Related Workmentioning

confidence: 99%

Investigation of Vision-Based Underwater Object Detection with Multiple Datasets

Rizzini

Kallasi

Oleari

et al. 2015

International Journal of Advanced Robotic Systems

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In this paper, we investigate the potential of vision-based object detection algorithms in underwater environments using several datasets to highlight the issues arising in different scenarios. Underwater computer vision has to cope with distortion and attenuation due to light propagation in water, and with challenging operating conditions. Scene segmentation and shape recognition in a single image must be carefully designed to achieve robust object detection and to facilitate object pose estimation. We describe a novel multi-feature object detection algorithm conceived to find human-made artefacts lying on the seabed. The proposed method searches for a target object according to a few general criteria that are robust to the underwater context, such as salient colour uniformity and sharp contours. We assess the performance of the proposed algorithm across different underwater datasets. The datasets have been obtained using stereo cameras of different quality, and diverge for the target object type and colour, acquisition depth and conditions. The effectiveness of the proposed approach has been experimentally demonstrated. Finally, object detection is discussed in connection with the simple colour-based segmentation and with the difficulty of tri-dimensional processing on noisy data.

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Stereoscopic System for 3-D Seabed Mosaic Reconstruction

Cited by 10 publications

References 13 publications

A Comparative Analysis between Active and Passive Techniques for Underwater 3D Reconstruction of Close-Range Objects

A Comparative Analysis between Active and Passive Techniques for Underwater 3D Reconstruction of Close-Range Objects

Experimentation of structured light and stereo vision for underwater 3D reconstruction

Investigation of Vision-Based Underwater Object Detection with Multiple Datasets

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