Abstract
In this paper, we present an occlusion removal method to enhance reconstructed
images of occluded three-dimensional (3D) objects based on pixel depth mapping
technique in 3D multi-perspective imaging. Depth mapping is achieved by minimizing
the statistical variance of projection image pixels of 3D object points on
different perspective images. Then depth map and variance map are utilized
to classify elemental image pixels into object or occlusion classes. Based
on pixel classification results, a modified reconstruction algorithm is used
to reconstruct the object without the effect of occlusion. In the proposed
method, the occlusion is unknown and may be arbitrarily placed in front of
the scene. Experimental results are presented to evaluate the effectiveness
of the proposed method.
© 2012 IEEE
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