Face Mosaicing using Multiresolution Spline:A Review
Ankit Patel, Hetal Patel

1Ankit Patel, Research Scholar, ECE Department, A. D. Patel Institute
of Technology , New V.V Nagarr, Gujarat, India.

2Assoc. Prof. Hetal Patel, ECE Department, A. D. Patel Institute of Technology, New V. V. Nagar, Gujarat, India.
Manuscript received on May 05, 2013. | Revised Manuscript received on May 11, 2013. | Manuscript published on May 15, 2013. | PP: 21-25 | Volume-1 Issue-6, May 2013.  | Retrieval Number: F0295051613/2013©BEIESP

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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image Mosaicing is the act of combining two or more images. It may containe images such that no obstructive boundary exists around overlapped regions. Emphasis is given on to create a mosaic image that contains as little distortion as possible from the original images, as well as preserving the general appearance of the original images. We describe a face mosaicing scheme that generates a composite face image during enrollment based on the evidence provided by frontal and semiprofile face images of an individual. In the this scheme, the side profile images are aligned with the frontal image using a simple registration algorithm, which determine the transformation relating the two images. Multiresolution splining is then used to blend the side profiles with the frontal image, thereby generating a composite face image of the user. Experiment conducted on a CMU pose, illumination, expression (CMU PIE) database indicate that face Mosaicing, as described in this paper , offers significant benefits by accounting for the pose variations that are commonly observed in face images.
Keywords: The goal of steganography is different from classical encryption,