Open AccessExtraction of location coordinates of 3-D objects from computationally reconstructed integral images basing on a blur metric
Author(s) -
DongChoon Hwang,
Kwang-Jin Lee,
SeungCheol Kim,
Eun-Soo Kim
Publication year - 2008
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.16.003623
Subject(s) - metric (unit) , computer vision , artificial intelligence , computer science , point (geometry) , integral imaging , iterative reconstruction , inflection point , plane (geometry) , optics , object (grammar) , point spread function , mathematics , image (mathematics) , geometry , physics , operations management , economics
In this paper, a novel approach to effectively extract location coordinates of 3-D objects employing a blur metric has been proposed. With elemental images of 3-D objects, plane object images (POIs) were reconstructed along the output plane using the CIIR (computational integral imaging reconstruction) algorithm, in which only the POIs reconstructed on the output planes where 3-D objects were originally located are focused whereas the other ones are blurred. Therefore, by calculating these blur metrics of the reconstructed POIs depth data of 3-D objects could be extracted. That is, the blur metric is the lowest on the focused point, but it starts to increase as (fill in the blank) moves away from that point. Accordingly, by finding out the points of inflection in the map of blur metric variation, the output planes where the objects were located were finally detected. To show the feasibility of our proposed scheme, some experiments were carried out and its results are presented as well.