File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.procs.2017.05.004
- Scopus: eid_2-s2.0-85027301537
- WOS: WOS:000404959000036
Supplementary
- Citations:
- Appears in Collections:
Conference Paper: 3D High-quality Garment Reconstruction with Synthesized Texture
Title | 3D High-quality Garment Reconstruction with Synthesized Texture |
---|---|
Authors | |
Keywords | 3D garment reconstruction Texture synthesis KinectFusion |
Issue Date | 2017 |
Citation | 2017 International Conference on Computational Science (ICCS), Zurich, Switzerland, 12-14 June 2017. In Procedia Computer Science, 2017, v. 108, p. 355-364 How to Cite? |
Abstract | 3D garment model plays an important role in the fashion industry. However, not much work focus on extracting high-quality clothes from scanned data. The texture is limited by photography methods in 3D scanning. This paper proposes a novel framework of reconstructing high-quality 3D garment models with synthesized texture. Firstly, a pipeline of 3D garment processing is proposed to obtain a better 3D model based on KinectFusion. Then, DeepTextures is used to synthesize a new texture. To our best knowledge, this is the first paper combining 3D garment reconstruction and texture synthesis. Experimental results show that our method can conveniently obtain 3D garment models and realistic textures. |
Persistent Identifier | http://hdl.handle.net/10722/288875 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hu, Pengpeng | - |
dc.contributor.author | Komura, Taku | - |
dc.contributor.author | Li, Duan | - |
dc.contributor.author | Wu, Ge | - |
dc.contributor.author | Zhong, Yueqi | - |
dc.date.accessioned | 2020-10-12T08:06:06Z | - |
dc.date.available | 2020-10-12T08:06:06Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | 2017 International Conference on Computational Science (ICCS), Zurich, Switzerland, 12-14 June 2017. In Procedia Computer Science, 2017, v. 108, p. 355-364 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288875 | - |
dc.description.abstract | 3D garment model plays an important role in the fashion industry. However, not much work focus on extracting high-quality clothes from scanned data. The texture is limited by photography methods in 3D scanning. This paper proposes a novel framework of reconstructing high-quality 3D garment models with synthesized texture. Firstly, a pipeline of 3D garment processing is proposed to obtain a better 3D model based on KinectFusion. Then, DeepTextures is used to synthesize a new texture. To our best knowledge, this is the first paper combining 3D garment reconstruction and texture synthesis. Experimental results show that our method can conveniently obtain 3D garment models and realistic textures. | - |
dc.language | eng | - |
dc.relation.ispartof | Procedia Computer Science | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | 3D garment reconstruction | - |
dc.subject | Texture synthesis | - |
dc.subject | KinectFusion | - |
dc.title | 3D High-quality Garment Reconstruction with Synthesized Texture | - |
dc.type | Conference_Paper | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1016/j.procs.2017.05.004 | - |
dc.identifier.scopus | eid_2-s2.0-85027301537 | - |
dc.identifier.volume | 108 | - |
dc.identifier.spage | 355 | - |
dc.identifier.epage | 364 | - |
dc.identifier.eissn | 1877-0509 | - |
dc.identifier.isi | WOS:000404959000036 | - |
dc.identifier.issnl | 1877-0509 | - |