کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
531005 | 869804 | 2007 | 20 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Exploration trees on highly complex scenes: A new approach for 3D segmentation Exploration trees on highly complex scenes: A new approach for 3D segmentation](/preview/png/531005.png)
A new strategy for automatic object extraction in highly complex scenes is presented in this paper. The method proposed gives a solution for 3D segmentation avoiding most restrictions imposed in other techniques. Thus, our technique is applicable on unstructured 3D information (i.e. cloud of points), with a single view of the scene, scenes consisting of several objects where contact, occlusion and shadows are allowed, objects with uniform intensity/texture and without restrictions of shape, pose or location. In order to have a fast segmentation stopping criteria, the number of objects in the scene is taken as input. The method is based on a new distributed segmentation technique that explores the 3D data by establishing a set of suitable observation directions. For each exploration viewpoint, a strategy [3D data]–[2D projected data]–[2D segmentation]–[3D segmented data] is accomplished. It can be said that this strategy is different from current 3D segmentation strategies. This method has been successfully tested in our lab on a set of real complex scenes. The results of these experiments, conclusions and future improvements are also shown in the paper.
Journal: Pattern Recognition - Volume 40, Issue 7, July 2007, Pages 1879–1898