Face Recognition

Dotted Raster-stereography: Revolutionizing Approach for Face Recognition, the Law and other Social Sciences

Raster-stereography is a 3D surface topography technique, which provide height and curvature information of the subject. This is a non-contact, non-invasive and radiation free technique, which is mostly used to analyze the back shape of human body. The most practical aspect of raster-stereography is ease in its apparatus setup and reduced exposure to x-rays. Another very important and effective application is to identify the human faces that can be used in security domain. The problem of breaking lines was observed while traversing the distorted raster pattern on human body. These breaks in raster pattern increased significantly when projected on the face. Computationally it becomes difficult to extract all valid curvatures of the human face. This problem was resolved using a modified dotted raster and the noise effect was reduced substantially. The dotted raster technique proved that it is by far the best option when compared with the conventional line grid.[1]

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Notes and References

1. Muhammad Wasim, Fauzan Saeed, Abdul Aziz, Adnan Siddiqui, “Dotted Raster-stereography: Revolutionizing Approach for Face Recognition” (Encyclopedia of Information Science and Technology, 4th Edition, Information Resources Management Association, 2018)