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Proceedings Paper

Computational volumetric integral imaging using a novel extraction of perspectivity
Author(s): Guen-Sik Lee; Yong-Seok Hwang; Eun-Soo Kim
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Paper Abstract

In this paper, a novel approach for extraction of object perspectivity using a new elemental image array is proposed. Generally, if we want to change the perspectivity of objects, we should change the position of object or camera, forward or backward. But, it makes the information of object image be limited. In other words, as the angle of camera is changed, the viewing angle is also done. Here, it makes the information of object be limited. As the object size is the bigger than before. In contrast of it, background image or other object image of rate is the smaller. Not only the information of object is limited, but also it is difficult to array experiment sets. Accordingly, in this paper, the perspectivity of objects is realized by using a new elemental image array which is made change the pinhole points horizontally. If the pinhole point is changed, the matching pixel is also changed. As if picked up image distance is the closer than before. So the perspectivity is changed. That is, It makes the similarly effect of changing the distance vertically. And it makes other perspectivity which is different from conventional method. Of course, the information is a little changed, but the image information is not much different. And it is not limited by the angle of camera or viewing angle. Besides experiment sets are maintained. Show the feasibility of the proposed method, some experiments with test objects are carried out and the results are presented.

Paper Details

Date Published: 2 September 2009
PDF: 8 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 744325 (2 September 2009); doi: 10.1117/12.828194
Show Author Affiliations
Guen-Sik Lee, Kwangwoon Univ. (Korea, Republic of)
Yong-Seok Hwang, Kwangwoon Univ. (Korea, Republic of)
Eun-Soo Kim, Kwangwoon Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

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