文章基本信息

标题：Implementation of A New Method for Making Rapid and Reliable Epipolar Images Without Using Control Points
本地全文：下载
作者：E.G. Parmehr ; Nejad F. Karimi
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B5
页码：284-285
出版社：Copernicus Publications
摘要：Epipolarization is the most important constraint used in automatic dense matching for increasing speed and reliability of matching method. There were many methods for making epipolar images. Most of these methods, which need camera calibration and camera specifications, have been explained in the literature. But in our method we do not need camera specifications. We have calculated relative orientation elements. We have changed images according to these elements, which mean rotation, translation and scale changing of images. We have changed geometry of images, but images are consisted of geometry and radiometry properties. Then we should change r adiometric properties so that new images will be created. For these r easons we resample each image. New images are epipolar. We have tested this method on stereo mouse and tooth images taken with a 3.2 Mega pixel digital camer a. The main advantage of this method is its independency to camera characteristics in any exposure position. Preparing contr ol points is one of the hard stages in some fields such as medical applications. Therefore this stage will be eliminated. Stereoscopic viewing, Relative measurement and thr ee-dimensional model are the main products easily created by this method. One of the most important applications is in medical applications. We do not need control points and without making any problem for the patient we measure. This method is possible even with a non-metric digital camera. This method is fast and accurate therefore it can be used in animation and many other applications. We have solved interior orientation parameters before we have started our procedure
关键词：Geometric; Radiometr ic; Digital; Non-metric; Camera; Method; 3D; Measurement