Abstract

In this paper, we propose an enhanced 3D image reconstruction method based on the recursive PCA algorithm from the elemental images recorded from the partially occluded 3D object. In the proposed system, we first record the elemental images for partially occluded object using computational integral imaging system and it is transformed to sub-images. Then we eliminate the occlusion within the sub-images by use of an occlusion removal technique. To compensate the removed part from occlusion-removed sub-images, we use a recursive application of PCA reconstruction and error compensation. Finally, we generate the entire elemental images without a loss from the newly reconstructed sub-images and perform the process of 3D image reconstruction. To show the usefulness of the proposed system, we carry out the computational experiments for face recognition and its results are presented.

© 2010 Optical Society of America