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A system to evaluate the accuracy of a visual mosaicking methodology

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

© OCEANS, 2001, vol. 4, p. 2570-2576

IEEE

Autor: García Campos, Rafael
Batlle i Grabulosa, Joan
Cufí i Solé, Xavier
Data: 2001
Resum: 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
Format: application/pdf
Cita: Garcia, R., Batlle, J., i Cufi, X. (2001). A system to evaluate the accuracy of a visual mosaicking methodology. OCEANS, 2001. MTS/IEEE Conference and Exhibition, 4, 2570-2576. Recuperat 1 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=968405
ISBN: 0-933957-28-9
Accés al document: http://hdl.handle.net/10256/2303
Llenguatge: eng
Editor: IEEE
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/OCEANS.2001.968405
Articles publicats (D-ATC)
És part de: © OCEANS, 2001, vol. 4, p. 2570-2576
Drets: Tots els drets reservats
Matèria: Algorismes computacionals
Robots mòbils
Vehicles submergibles
Visió per ordinador
Computer algorithms
Computer vision
Mobile robots
Submersibles
Títol: A system to evaluate the accuracy of a visual mosaicking methodology
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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