IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Dotted Raster-Stereography

Dotted Raster-Stereography
View Sample PDF
Author(s): Muhammad Wasim (Usman Institute of Technology, Pakistan), Fauzan Saeed (Usman Institute of Technology, Pakistan), Abdul Aziz (Usman Institute of Technology, Pakistan)and Adnan Ahmed Siddiqui (Hamdard University, Pakistan)
Copyright: 2019
Pages: 17
Source title: Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7368-5.ch008

Purchase

View Dotted Raster-Stereography on the publisher's website for pricing and purchasing information.

Abstract

Raster-stereography is a 3D surface topography technique that provides height and curvature information of the subject. This is a non-contact, non-invasive, and radiation-free technique that is mostly used to analyze the back shape of a 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 the 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.

Related Content

Rekha Mewafarosh, Shivani Agarwal, Deeksha Dwivedi. © 2024. 15 pages.
Rishi Prakash Shukla. © 2024. 9 pages.
Priya Makhija, Megha Kukreja, R. Thanga Kumar. © 2024. 11 pages.
Balraj Verma, Niti Chatterji. © 2024. 18 pages.
Peterson K. Ozili. © 2024. 17 pages.
Animesh Kumar Sharma, Rahul Sharma. © 2024. 20 pages.
Mohammad Badruddoza Talukder, Firoj Kabir, Fahmida Kaiser, Farhana Yeasmin Lina. © 2024. 20 pages.
Body Bottom