A benchmark for 3D mesh segmentation
ACM SIGGRAPH 2009 papers
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
Feature-preserving 3D thumbnail creation via mesh decomposition and approximation
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Feature-preserving 3D thumbnail creation with voxel-based two-phase decomposition
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Voxel-based shape decomposition for feature-preserving 3D thumbnail creation
Journal of Visual Communication and Image Representation
Retrieval of 3D articulated objects using a graph-based representation
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
| Hi-index | 0.00 |
In this paper, we propose a novel mesh-decomposition scheme called "visual salience-guided mesh decomposition". The concept of "part salience", which originated in cognitive psychology, asserts that the salience of a part can be determined by (at least) three factors: the protrusion, the boundary strength, and the relative size of the part. We try to convert these conceptual rules into real computational processes, and use them to guide a three-dimensional (3D) mesh decomposition process in such a way that the significant components can be precisely identified and efficiently extracted from a given 3D mesh. The proposed decomposition scheme not only identifies the parts' boundaries defined by the minima rule, but also labels each part with a quantitative degree of visual salience during the mesh decomposition process. The experimental results show that the proposed scheme is indeed effective and powerful in decomposing a 3D mesh into its significant components