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Conference Paper High Quality Texture Reconstruction from Multi-view Images
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Authors
Hye-sun Kim, Chang-joon Park
Issue Date
2017-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1113-1115
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190870
Abstract
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 Keywords
3D Reconstruction, 3D geometry, 3d model, Color adjustment, Mesh reconstruction, Multi-view stereo, View Selection, multi-view images, structure from motion, texture reconstruction