BMEF – Infrastructure for students & their studies

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THREE DIMENSIONAL OBJECT RECONSTRUCTION FOR ROBOTICS


3D Measurements is still being a great challenge. Although a lot of research is involved in stereovision systems, most of the geometrical problems can be minimised when the system is used for industrial applications. Moreover, light control can be achieved allowing better segmentation results. The Robotics and Computer Vision Group at the University of Girona is involved in 3D Measurement developing systems for either research or industrial applications. Coded structured light is based on the projection of a light pattern that has been previously coded in order to solve the correspondence problem. Then, this light pattern is projected onto a scene and the captured by a camera. Linear a nonlinear calibration are used to model the camera and the pattern projector. Triangulation is applied to obtain 3D reconstruction of the scene and a single pattern projection allows the system to measure moving objects. Some application of this technique has been tested in an underwater robot as we describe in the next section with the aim of obtaining the desired 3D information for navigation.
Fig: 1 moving hand imaged by the pattern and its final reconstruction.

MAIN CONTOUR DETECTION AND APPLICATIONS:


The work developed in this vision area by our Group consists initially in the
segmentation of natural scenes based on the obtaining of a set of frontiers of the most
perceptively significant regions, the so-called Circumscribed Contours. This method is
based on two main properties: The contour must have an important length and that the
contours separate sufficiently differentiated regions. The proposed algorithm for segmentation runs in four phases: 1. - Obtaining of the Integrated Local Contour Image. 2. - Contour Restoration and Pruning. 3. - Analysis of Contour Separation Capabilities (chromatic characteristics and texture).        4. Obtaining of the Most Relevant Contours: Relevance value of each contour. The final result is an
image with the identification of its main contour.

ROBOTICS FIELD:

Underwater Robotics and Vision Applications:

In collaboration with the Polytechnic University of Catalonia (UPC) our research group has
developed a low cost underwater robot called Garbi. It is oriented both to perform undersea
observations and to carry out simple manipulation tasks like sample collection. The robot is
teleported from a surface computer connected to the underwater unity through an umbilical
cable. Its two 3 DOF arms can be controlled by using an special developed exoskeleton
mounted on the operator's chair. In the field of underwater robotics, we are working on the
mathematical modelling of the vehicle and the definition and implementation of a hybrid
control architecture to transform the robot in a full autonomous underwater vehicle. By
means of positioning by laser recognition we are involved in a project of co-ordinated cooperation for specifically tasks of two teleported underwater vehicles.


Fig 4. The Garbi Underwater Robot and the laser positioning system          Fig. 5 Garbi carrying out a task.

Lecturer

Mr. Hojiwala Robin A.
Mahavir swami polytechnic




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