engleski

Application of Augmented Reality for Supporting Instrument Service Tasks

This paper describes a system for object detection and tracking implemented as an iPad application, which has been tested and successfully accomplishes its task. The system is based on finding the initial position of the object by matching features between a template and the device’s picture. Tracking is achieved by using a pyramidal implementation of the iterative Lucas-Kanade algorithm. The implemented system was tested on two different instruments used for testing internal combustion engines. The paper discusses the possibilities offered by mobile devices, like the iPad, for the development of applications with computer vision and augmented reality elements and also describes the major problems that have been encountered on such platforms.

computer vision; augmented reality; mobile devices; iPad; feature detection; tracking

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