Volume 3 Number 5 (Oct. 2013)
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IJEEEE 2013 Vol.3(5): 407-409 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2013.V3.268

Computing the Three Dimensional Depth Measurement by the Multi Stereo Images

Sandar Aung
Abstract— The photorealistic constructing 3D models of an object or a scene from images is still a very difficult task in 3D image modelling research area. The reconstruction of a 3D model can have different application in many areas, such as industrial, virtual reality, and movies, entertainment, among others. The depth estimation is occupied the essential role in 3D model reconstruction. The foreground object is extracted by the color segmentation approach. The reference points of an object are automatically selected from the image and compute the perspective projection between 2D and 3D relation. The fundamental matrix is constructed by the location of the corresponding pixel in each image. Then 3D cloud points are computed for obtaining the minimum 3D bounding box of the model. It will provide the 3D surface reconstruction by integrating the 3D cloud points and relative color information. The multi stereo camera system is applied to get the accurate depth measurements of an object. The effectiveness of the proposed approach can be confirmed through the experimental results.

Index Terms— Constructing photorealistic 3D models, 3D model generating system, 3D cloud points, color segmentation, perspective projection, depth measurement.

Sandar Aung is with the University of Computer Studies, Mandalay, Myanmar (e-mail: sandaraung84@gmail.com).

Cite: Sandar Aung, " Computing the Three Dimensional Depth Measurement by the Multi Stereo Images," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 3, no. 5, pp. 407-409, 2013.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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