Zippered polygon meshes from range images
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Appearance-preserving simplification
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Fast and memory efficient polygonal simplification
Proceedings of the conference on Visualization '98
New quadric metric for simplifiying meshes with appearance attributes
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Hierarchical geometric models for visible surface algorithms
Communications of the ACM
Texture mapping progressive meshes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Hi-index | 0.00 |
Complex triangle meshes arise extensively in computer graphics. Such meshes greatly exceed the processing power of modern computer hardware and need to be simplified. The purpose of this paper is to simplify a 3D color human head mesh acquired from a 3D laser scanner. It is more important to keep the boundaries and quality of the sense organs which are the region of interest, while it is reasonable to simplify other features of the head aggressively, such as hair, face and neck. Based on these heuristics, we present a novel vertex merging mesh simplification algorithm based on region segmentation. The algorithm can be divided into two stages: segmentation and simplification. First, the 3D color head mesh is segmented into different head parts with respect to both geometry and attributes, then vertices are classified into region-inner vertices and region-boundary vertices. Second, iterative vertex merging is applied using region-weighted error metric in order to implement controllable simplifications. Results of several experiments are shown, demonstrating the potential of our method for a 3D color head mesh. Also, our method is resistant to noise in practical applications.