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An approach to vision-based station keeping for an unmanned underwater vehicle

An approach to vision-based station keeping for an unmanned ...

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IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： X. Cufi R. Garcia P. Ridao Computer Vision and Robotics Group Institute oflnformatics and Applications University of Girona Girona Spain

This paper presents an automatic vision-based system for UUV station keeping. The vehicle is equipped with a down-looking camera, which provides images of the sea-floor. The station keeping system is based on a feature-based motion detection algorithm, which exploits standard correlation and explicit textural analysis to solve the correspondence problem. A visual map of the area surveyed by the vehicle is constructed to increase the flexibility of the system, allowing the vehicle to position itself when it has lost the reference image. The testing platform is the URIS underwater vehicle. Experimental results demonstrating the behavior of the system on a real environment are presented.

关键词： Underwater vehicles Cameras Remotely operated vehicles Motion estimation computer vision Motion detection Robot vision systems Testing Vehicle detection Sea floor

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ROV-aided dam inspection: Practical results 6

ROV-aided dam inspection: Practical results

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6th IFAC Conference on Manoeuvring and Control of Marine Craft, MCMC 2003

作者： Batlle, Joao Nicosevici, Tudor Garcia, Rafael Carreras, Marc Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona E.P.S. Girona17071 Spain

Nowadays Unmanned Underwater Vehicles (UlNs) are used in a growing number of underwater missions, mostly inspections of different types of installations such as: telecommunication cables, pipes or oil extraction installations. A field where UUVs are still starting to prove their utility is dam inspection. This paper presents details our first approach in dam inspection. A set of experiments carried out at a dam in Romania is described. Advantages and drawbacks of using a small-class underwater vehicle are analyzed for this type of missions. Copyright © 2003 IFAC

关键词： computer vision

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Real-time vision based auv navigation system using a complementary sensor suite

Real-time vision based auv navigation system using a complem...

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作者： Horgan, Jonathan Toal, Daniel Ridao, Pere Garcia, Rafael Mobile and Marine Robotics Research Centre Department of Electronic and Computer Engineering University of Limerick Ireland Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Spain

ISBN: (纸本)9783902661623

This paper proposes a real-time navigation system for an AUV that takes advantage of the complementary performance of a sensor suite including a DVL, a compass, a depth sensor and altimeter sensors with a feature based motion estimator using vision. To allow for real-time performance of the vision based motion estimator a simple but fast correlation algorithm is used for feature matching. The compass and the depth sensors are used to bound the drift of the heading and depth estimations respectively. The altimeter is required in order to translate the feature displacements measured from the images into the metric displacements of the robot. While the robot must rely on DVL navigation above a certain altitude where vision is useless, DVL measurements can be complemented with higher frequency accurate motion estimates from the vision system when navigating close to the seafloor. Copyright © 2007 IFAC.

关键词： Navigation systems

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Digital Mammography 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Joan Martí Arnau Oliver Jordi Freixenet Robert Martí

ISBN: (数字)9783642136665

ISBN: (纸本)9783642136658

This volume of Springer’s Lecture Notes in computer Science series comprises th the scienti?c proceedings of the 10 International Workshop on Digital Mammography (IWDM), which was held June 16–18, 2010 in Girona, Cata- nia. The IWDMmeetingstraditionallybringtogetheradiversesetofresearchers (physicists, mathematicians, computer scientists, engineers), clinicians (radi- ogists, surgeons) and representatives of industry, who are jointly committed to developing technology, not just for its own sake, but to support clinicians in the early detection and subsequent patient management of breast cancer. The IWDM conference series was initiated at a 1993 meeting of the SPIE Medical Imaging Symposium in San Jose, CA, with subsequent meetings hosted every two yearsbyresearchersaroundthe world. Former workshopswereheld in York, England (1994), Chicago, IL USA (1996), Nijmegen, The Netherlands (1998), Toronto, Canada (2000), Bremen, Germany (2002), Durham, NC, USA (2004), Manchester, UK (2006) and Tucson, AZ USA (2008). Each of these scienti?c events was combined with very successful and focused industrial and research exhibits, which demonstrated the milestones of digital mammography over the years. A total number of 141 paper submissions from 21 countries were received. Each of these four-page abstract submissions was reviewed in a blind process by at least two members of the Scienti?c Committee, which led to a ?nal selection of 46 oral presentations and 57 posters during the two and one-half days of scienti?c sessions.

关键词： Image Processing and computer vision Health Informatics Imaging / Radiology Information Storage and Retrieval Pattern Recognition Computational Biology/Bioinformatics

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A computer vision sensor for panoramic depth perception

A computer vision sensor for panoramic depth perception

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Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005

作者： Orghidan, Radu Mouaddib, El Mustapha Salvi, Joaquim Institute of Informatics and Applications Computer Vision and Robotics Group University of Girona Girona Spain Centre de Robotique Électrotechnique et Automatique Université de Picardie Jules Verne Amiens France

A practical way for obtaining depth in computer vision is the use of structured light systems. For panoramic depth reconstruction several images are needed which most likely implies the construction of a sensor with mobile elements. Moreover, misalignments can appear for non-static scenes. Omnidirectional cameras offer a much wider field of view than the perspective ones, capture a panoramic image at every moment and alleviate the problems due to occlusions. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to obtain panoramic depth information. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image sensors

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Calibration of A Structured Light-Based Stereo Catadioptric Sensor

Calibration of A Structured Light-Based Stereo Catadioptric ...

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IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Radu Orghidan Joaquim Salvi El Mustapha Mouaddib Computer Vision and Robotics Group Institute of Informatics and Applications Girona Catalonia Spain

Catadioptric sensors are combinations of mirrors and lenses made in order to obtain a wide field of view. In this paper we propose a new sensor that has omnidirectional viewing ability and it also provides depth information about the nearby surrounding. The sensor is based on a conventional camera coupled with a laser emitter and two hyperbolic mirrors. Mathematical formulation and precise specifications of the intrinsic and extrinsic parameters of the sensor are discussed. Our approach overcomes limitations of the existing omni-directional sensors and eventually leads to reduced costs of production.

关键词： Mirrors Cameras Mathematical model Robot sensing systems Equations Laser modes Lasers

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A new approach to segmentation based on fusing circumscribed contours, region growing and clustering

A new approach to segmentation based on fusing circumscribed...

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IEEE International Conference on Image Processing

作者： X. Munoz X. Cufi J. Freixenet J. Marti Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Catalonia Spain

ISBN: (纸本)0780362977

One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions's characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed.

关键词： Image segmentation Image edge detection Layout Clustering algorithms computer vision Robot vision systems Informatics Application software Machine vision Proposals

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A system to evaluate the accuracy of a visual mosaicking methodology

A system to evaluate the accuracy of a visual mosaicking met...

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OCEANS

作者： R. Garcia J. Batlle X. Cufi Institute of Informatics and Applications Computer Vision and Robotics Group University of Girona Girona Spain

When underwater vehicles navigate close to the ocean floor, computer vision techniques can be applied to obtain motion estimates. A complete system to create visual mosaics of the seabed is described in this paper. Unfortunately, the accuracy of the constructed mosaic is difficult to evaluate. The use of a laboratory setup to obtain an accurate error measurement is proposed. The system consists on a robot arm carrying a downward looking camera. A pattern formed by a white background and a matrix of black dots uniformly distributed along the surveyed scene is used to find the exact image registration parameters. When the robot executes a trajectory (simulating the motion of a submersible), an image sequence is acquired by the camera. The estimated motion computed from the encoders of the robot is refined by detecting, to subpixel accuracy, the black dots of the image sequence, and computing the 2D projective transform which relates two consecutive images. The pattern is then substituted by a poster of the sea floor and the trajectory is executed again, acquiring the image sequence used to test the accuracy of the mosaicking system.

关键词： Image sequences Underwater vehicles Motion estimation Robot vision systems Cameras Navigation Oceans computer vision Laboratories computer errors

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Estimating the motion of an underwater robot from a monocular image sequence

Estimating the motion of an underwater robot from a monocula...

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IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： R. Garcia X. Cufi M. Carreras Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Girona Spain

When underwater vehicles perform navigation close to the ocean floor, computer vision techniques can be applied to obtain quite accurate motion estimates. The most crucial step in the vision-based estimation of the vehicle motion consists on detecting matchings between image pairs. Here we propose the extensive use of texture analysis as a tool to ameliorate the correspondence problem in underwater images. Once a robust set of correspondences has been found, the three-dimensional motion of the vehicle can be computed with respect to the bed of the sea. Finally, motion estimates allow the construction of a map that could aid to the navigation of the robot.

关键词： Motion estimation Robots Navigation Underwater vehicles Oceans Floors computer vision Motion detection Vehicle detection Image analysis

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Use of decision trees in colour feature selection. Application to object recognition in outdoor scenes

Use of decision trees in colour feature selection. Applicati...

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IEEE International Conference on Image Processing

作者： J. Freixenet X. Llado J. Marti X. Cufi Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Catalonia Spain

A new method for the automated selection of colour features is described. The algorithm consists of two stages of processing. In the first, a complete set of colour features is calculated for every object of interest in an image. In the second stage, each object is mapped into several n-dimensional feature spaces in order to select the feature set with the smallest variables able to discriminate the remaining objects. The evaluation of the discrimination power for each concrete subset of features is performed by means of decision trees composed of linear discrimination functions. This method can provide valuable help in outdoor scene analysis where no colour space has been demonstrated as being the most suitable. Experiment results recognizing objects in outdoor scenes are reported.

关键词： Decision trees Object recognition Layout Application software Geometry computer vision Robot vision systems robotics and automation Informatics Concrete

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