Translator Disclaimer
2 September 2009 Computational volumetric integral imaging using a novel extraction of perspectivity
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guen-Sik Lee, Yong-Seok Hwang, and Eun-Soo Kim "Computational volumetric integral imaging using a novel extraction of perspectivity", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 744325 (2 September 2009);

Back to Top