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：148-153
出版社：Copernicus Publications
摘要：In this paper we present a voxel-based object reconstruction technique to compute photo realistic volume models of real world objects from multiple color images. The 3D object acquisition is performed using a CCD video camera, where the images of the object have been captured in a circular camera setup. Before starting the image acquisition, the sensor is calibrated in order to determine the interior and exterior parameters of the camera. Due to the missing of control points on the object, the images undergo a process of relative orientation in a free network using manually measured tie points. The approximate model of the object can be easily acquired by a volume intersection method in a fast and a robust way, which results in the convex hull of the object. The shell of the object, namely the surface voxels are easily obtained from this model. In order to get into the concavities and refine the model we introduced the shell carving method. For the visibility computation, we introduce ray tracing and surface normal vector computation. We use color image matching to search for image correspondences. Furthermore, we make use of the image orientation data for a knowledge based template grabbing. Voxels which are projected into non-corresponding image points are carved away from the shell. And the final set of voxels contains sufficient color and texture information to accurately represent the object
关键词：Calibration; Close Range; Correlation; Reconstruction; Visualization
