Range data offer a direct way to produce shape descriptions of surfaces. Typically single range images have the form of a graph surface z=g(z,y) and thus suffer from occlusion. One can reduce this problem by taking several images from different locations and merging them together. The result is a real 3-D description of the object's surface. In this paper we address several problems that result from the 2 1/2 -D to 3-D transition. We present an algorithm which is able to merge depth images of an arbitrary shaped object using a highly local approach. An explicit sensor error model is used to support the merging. A key feature of our algorithm is the ability to update its result by an additional new view. Thus, it is possible to gradually improve the surface description in regions of high noise.<>
Merging range images of arbitrarily shaped objects
1994-01-01
704750 byte
Conference paper
Electronic Resource
English
Merging Range Images of Arbitrarily Shaped Objects
British Library Conference Proceedings | 1994
|Computational Method for Arbitrarily-Shaped Elastic Objects in Free-Surface Flows
HENRY – Federal Waterways Engineering and Research Institute (BAW) | 2008
|British Library Conference Proceedings | 1993
|Lifting-Line Theory for Arbitrarily Shaped Wings
AIAA | 1999
|