Tesis
Realidade aumentada com rastreamento baseado em retas
Fecha
2017-08-28Autor
Figueiredo, Herysson Rodrigues
Institución
Resumen
Augmented Reality (AR) is a human-computer interaction tool where the view of the
real-world environment is enhanced by computer-generated elements or objects. This
work is inserted in the context of AR, more specifically in systems with monitors based
design, where image processing and computer vision tools are used, such as: spatial
filtering, image segmentation, morphological processing, color image processing,
Optical Flow and Homography. In this dissertation a new augmented reality algorithm
with a markers tracking method based on linear equations is presented. This algorithm
consists of segmenting the colored markers from an input frame, extracting characteristics
of the markers that allow the estimation of lines for projection of a 2D image
in a 3D plane of the scene. The obtained results are promising to demonstrate that
the algorithm developed has excellent results when compared to the method proposed
by Lucas and Kanade (1981), in relation to marker occlusion and consistency by
maintaining an increase in reality at run time.