ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 High Quality Texture Reconstruction from Multi-view Images
Cited 1 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
저자
김혜선, 박창준
발행일
201710
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1113-1115
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190870
협약과제
17HS1400, 다고도 이기종 실사영상 기반 3차원 합성전장 구축 및 가시화 기술 개발, 박창준
초록
Texture reconstruction is the last step of 3D reconstruction pipelines that makes 3D geometry models very impressive and beautiful. Once the 3D model is created through structure-from-motion, multi-view stereo and mesh reconstruction, real image based texture is mapped to the models. But it is not easy to generate high quality texture. There are many difficulties cause problems: the large number of input images, their exposure variations, and external illuminance change. The proposed technique is able to generate seamless and high quality textures by view selection optimization and color adjustment.
KSP 제안 키워드
3D Reconstruction, 3D geometry, 3d model, Color adjustment, Mesh reconstruction, Multi-view stereo, View Selection, multi-view images, structure from motion, texture reconstruction