Title :
A match and merge method for 3D modeling from range images
Author :
Hügli, H. ; Jost, T.
Author_Institution :
Inst. of Microtechnology, Neuchatel Univ., Switzerland
Abstract :
This paper presents a new method for combining several range images to create a complete virtual model of an object. It considers the problem of unpositioned range images which must be registered before their fusion into the final model. The proposed method relies on a modeling which preserves the topology of the range images and introduces a new view fusion algorithm that is coupled with registration. The successful operation of a modeling system that implements this method. illustrated by some examples, speaks for its applicability and practical efficiency.
Keywords :
distance measurement; image processing; sensor fusion; topology; virtual reality; 3D modeling; match and merge method; modeling system; range image combining; topology; unpositioned range images; virtual model; Geometry; Identity-based encryption; Image reconstruction; Iterative closest point algorithm; Reverse engineering; Surface treatment; Testing; Topology;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180148
