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Markerless Augmented Reality for Panoramic Sequences

This thesis describes the development and implementation of a system for inserting virtual objects into a panoramic image sequence. Virtual objects are inserted into the panoramic scene without the use of physical fiducial markers in the scene; placement is done through the detection of natural feature points within the panoramic imagery. An author inserts a planar image, text, or a three-dimensional model in one panorama, and the system automatically places these augmentations in a perspective-correct manner in other panoramic images near the insertion location. In the case of planar augmentations, the system also corrects occlusion of the plane by foreground objects. By applying transparency to the planar augmentation, it’s possible to give the occlusion the appearance of lying behind foreground objects. This enhances the realism of the augmentation, by giving a correct representation of relative depth.