Plane of Uneven Polygonal Surface Extraction for Vision-Based Augmented Reality

Abstract

It is hard to detect a partially occluded and weak perspective projected maker in vision-based AR(Augmented Reality). Moreover, a CG(Computer Graphics) image should be superimposed into an AR marker even if the marker is composed by uneven polygonal surfaces. First, the marker is detect a partially occluded by SIFT(Scale-Invariant Feature Second, weak affine projected regions are extracted with spatial density of SIFT key-points. Finally, the three-dimensional Transform). posture of plane of the weak affine region are Extracted by Structure from Motion.