Human Face Recognition from Part of a Facial Image based on Image Stitching
Osama R. Shahin, Rami Ayedi, Alanazi Rayan, Rasha M. Abd El-Aziz,, Ahmed I. Taloba

TL;DR
This paper introduces a face recognition method that reconstructs missing facial parts by stitching and flipping based on facial symmetry, improving recognition accuracy when only partial faces are available.
Contribution
The work proposes a novel face reconstruction technique using image stitching and flipping, combined with Eigenfaces and geometrical methods for enhanced recognition of partial faces.
Findings
Effective face reconstruction from partial images.
Improved recognition accuracy with the proposed stitching method.
Validation using Eigenfaces and geometrical recognition methods.
Abstract
Most of the current techniques for face recognition require the presence of a full face of the person to be recognized, and this situation is difficult to achieve in practice, the required person may appear with a part of his face, which requires prediction of the part that did not appear. Most of the current forecasting processes are done by what is known as image interpolation, which does not give reliable results, especially if the missing part is large. In this work, we adopted the process of stitching the face by completing the missing part with the flipping of the part shown in the picture, depending on the fact that the human face is characterized by symmetry in most cases. To create a complete model, two facial recognition methods were used to prove the efficiency of the algorithm. The selected face recognition algorithms that are applied here are Eigenfaces and geometrical…
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Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Face recognition and analysis · Image Retrieval and Classification Techniques
MethodsPrincipal Components Analysis
