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Optoelectronic Automated System for Length and Profile Measurements

Year: 2007 Volume: 1 Issue: 1 40 - 43 Pages

• Authors:
• L. C. Gómez-Pavón
• M. A. Rojas Aparicio
• E. Juárez Ruiz
• M. A. Flores Guerrero
• and O. Gómez-de la Fuente

Abstract: In this work the design and characterization of an optoelectronic automated measurement system it is presented. The optoelectronic devices of this system are an optical transmitter, the optical components and the optical receiver, which were selected for a great precision of the system. The mechanical system allows free displacement of the components as well as the devices that generate the movement. The results, length and profile of the objects are display in Lab View.

• Keywords:
• Automated
• optoelectronic
• triangulation method.

Video-Based Tracking of Laparoscopic Instruments Using an Orthogonal Webcams System

Year: 2013 Volume: 7 Issue: 8 445 - 448 Pages

• Authors:
• Fernando Pérez
• Humberto Sossa
• Rigoberto Martínez
• Daniel Lorias
• Arturo Minor

Abstract: This paper presents a system for tracking the movement of laparoscopic instruments which is based on an orthogonal system of webcams and video image processing. The movements are captured with two webcams placed orthogonally inside of the physical trainer. On the image, the instruments were detected by using color markers placed on the distal tip of each instrument. The 3D position of the tip of the instrument within the work space was obtained by linear triangulation method. Preliminary results showed linearity and repeatability in the motion tracking with a resolution of 0.616 mm in each axis; the accuracy of the system showed a 3D instrument positioning error of 1.009 ± 0.101 mm. This tool is a portable and low-cost alternative to traditional tracking devices and a trustable method for the objective evaluation of the surgeon’s surgical skills.

• Keywords:
• Laparoscopic Surgery
• Orthogonal Vision
• Tracking Instruments
• Triangulation.

Robot Vision Application based on Complex 3D Pose Computation

Year: 2009 Volume: 3 Issue: 10 776 - 779 Pages

• Authors:
• F. Rotaru
• S. Bejinariu
• C. D. Niţâ
• R. Luca
• I. Pâvâloi
• C. Lazâr

Abstract: The paper presents a technique suitable in robot vision applications where it is not possible to establish the object position from one view. Usually, one view pose calculation methods are based on the correspondence of image features established at a training step and exactly the same image features extracted at the execution step, for a different object pose. When such a correspondence is not feasible because of the lack of specific features a new method is proposed. In the first step the method computes from two views the 3D pose of feature points. Subsequently, using a registration algorithm, the set of 3D feature points extracted at the execution phase is aligned with the set of 3D feature points extracted at the training phase. The result is a Euclidean transform which have to be used by robot head for reorientation at execution step.

• Keywords:
• features correspondence
• registration algorithm
• robot vision
• triangulation method.