Abstract | ||
---|---|---|
In this paper we present a method for automatic segmentation of 3D complex scenes from a single range image. A complex scene includes several objects with: irregular shapes, occlusion, the same colour or intensity level and placed in any pose. Unlike most existing methods which proceed with a set of images obtained from different viewpoints, in this work a single view is used and a 3D segmentation process is developed to separate the constituent parts of a complex scene. The method is based on establishing suitable virtual-viewpoints in order to carry out a new range data segmentation technique. For a virtual-viewpoint a strategy [3D range data] - [2D projected range data] - [2D segmentation] - [3D segmented range data], is accomplished. The proposed method has been applied to a set of complex scenes and it can be said that the results guarantee the benefits of the method. |
Year | DOI | Venue |
---|---|---|
2002 | 10.1007/3-540-36131-6_94 | IBERAMIA |
Keywords | Field | DocType |
single range image,virtual exploration,complex scenes segmentation,projected range data,segmented range data,existing method,complex scene,automatic segmentation,new range data segmentation,segmentation process,range data | Virtual image,Computer vision,Data segment,Scale-space segmentation,Segmentation,Computer science,Range segmentation,Segmentation-based object categorization,Image processing,Image segmentation,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
2527 | 0302-9743 | 3-540-00131-X |
Citations | PageRank | References |
8 | 0.56 | 14 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pilar Merchán | 1 | 63 | 11.05 |
Antonio Adán | 2 | 124 | 22.27 |
Santiago Salamanca | 3 | 63 | 11.24 |
Carlos Cerrada | 4 | 139 | 20.36 |