| Title | Automatic Re-Topology and UV Remapping for 3D Scanned Objects Based on Neural Network |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Pan, Zhiying, Di, Make, Zhang, Jianhua, Ravi, Suraj |
| Conference Name | Proceedings of the 31st International Conference on Computer Animation and Social Agents |
| Publisher | ACM |
| ISBN Number | 978-1-4503-6376-1 |
| Keywords | 3D reconstruction, Human Behavior, human factors, Neural networks, pubcrawl, re-topology, Scalability, Social Agents, UV unwrap |
| Abstract | Producing an editable model texture could be a challenging problem if the model is scanned from real world or generated by multi-view reconstruction algorithm. To solve this problem, we present a novel re-topology and UV remapping method based on neural network, which transforms arbitrary models with textured coordinates to a semi-regular meshes, and keeps models texture and removes the influence of lighting information. The main innovation of this paper is to use a neural network to find the appropriate location of the starting and ending points for models in the UV maps. Then each fragmented mesh is projected to the 2D planar domain. After calculating and optimizing the orientation field, a semi-regular mesh for each patch is then generated. Those patches can be projected back to three-dimension space and be spliced to a complete mesh. Experiments show that our method can achieve satisfactory performance. |
| DOI | 10.1145/3205326.3205356 |
| Citation Key | pan_automatic_2018 |
Automatic Re-Topology and UV Remapping for 3D Scanned Objects Based on Neural Network