Abstract
In this paper, we consider the geometric and photometric modeling of large-scale and intricately shaped objects, such as cultural heritage objects. When modeling a large-scale and intricately shaped object, a huge amount of data is required to model the object. We would like to propose two approaches to handling this amount of data : the parallel processing of merging range images and the adaptive algorithm of merging range images. First, we developed a parallel computation algorithm using a PC cluster which consists of two components, the distributed allocation of range images to multiple PCs, and the parallel traversal of sub-trees of octree. Second, we constructed a merged model in adaptive resolution according to the geometric and photometric attributes of range images for efficient use of computational resources. Moreover, we propose a novel method to construct a 3D model with an appearance by taking a consensus of the appearance changes of the target object from multiple range images.
| Translated title of the contribution | Geometric and Photometric Integration System for Large Objects |
|---|---|
| Original language | Japanese |
| Pages (from-to) | 41-53 |
| Number of pages | 13 |
| Journal | 情報処理学会論文誌コンピュータビジョンとイメージメディア（CVIM） |
| Volume | 44 |
| Issue number | 5 |
| Publication status | Published - Apr 15 2003 |
| Externally published | Yes |