The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Medan cahaya permukaan memajukan teknik pemaparan medan cahaya konvensional dengan menggunakan maklumat geometri. Menggunakan medan cahaya permukaan, objek dunia sebenar dengan rupa yang kompleks boleh diwakili dengan tepat. Keupayaan ini boleh memainkan peranan penting dalam banyak aplikasi VR/AR. Walau bagaimanapun, model geometri yang tepat diperlukan untuk pensampelan dan pemprosesan medan cahaya permukaan, yang mengehadkan penggunaannya yang luas memandangkan banyak objek yang diminati sukar dibina semula dengan penampilannya yang biasanya sangat kompleks. Kami mencadangkan rangka kerja pengoptimuman dua langkah yang baru untuk mengurangkan pergantungan geometri yang tepat. Wawasan utama adalah untuk merawat pensampelan medan cahaya permukaan sebagai masalah pengoptimuman berbilang tekstur berbilang paparan. Pendekatan kami boleh menangani kedua-dua ketidaktepatan model dan imej kepada salah jajaran model, yang memungkinkan untuk mencipta model medan cahaya permukaan kesetiaan tinggi tanpa menggunakan perkakasan khas berketepatan tinggi.
Wei LI
Nanjing University of Aeronautics and Astronautics
Huajun GONG
Nanjing University of Aeronautics and Astronautics
Chunlin SHEN
Nanjing University of Aeronautics and Astronautics
Yi WU
Nanjing University of Aeronautics and Astronautics
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Salinan
Wei LI, Huajun GONG, Chunlin SHEN, Yi WU, "Patch Optimization for Surface Light Field Reconstruction" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 12, pp. 3267-3271, December 2018, doi: 10.1587/transinf.2018EDL8072.
Abstract: Surface light field advances conventional light field rendering techniques by utilizing geometry information. Using surface light field, real-world objects with complex appearance could be faithfully represented. This capability could play an important role in many VR/AR applications. However, an accurate geometric model is needed for surface light field sampling and processing, which limits its wide usage since many objects of interests are difficult to reconstruct with their usually very complex appearances. We propose a novel two-step optimization framework to reduce the dependency of accurate geometry. The key insight is to treat surface light field sampling as a multi-view multi-texture optimization problem. Our approach can deal with both model inaccuracy and image to model misalignment, making it possible to create high-fidelity surface light field models without using high-precision special hardware.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDL8072/_p
Salinan
@ARTICLE{e101-d_12_3267,
author={Wei LI, Huajun GONG, Chunlin SHEN, Yi WU, },
journal={IEICE TRANSACTIONS on Information},
title={Patch Optimization for Surface Light Field Reconstruction},
year={2018},
volume={E101-D},
number={12},
pages={3267-3271},
abstract={Surface light field advances conventional light field rendering techniques by utilizing geometry information. Using surface light field, real-world objects with complex appearance could be faithfully represented. This capability could play an important role in many VR/AR applications. However, an accurate geometric model is needed for surface light field sampling and processing, which limits its wide usage since many objects of interests are difficult to reconstruct with their usually very complex appearances. We propose a novel two-step optimization framework to reduce the dependency of accurate geometry. The key insight is to treat surface light field sampling as a multi-view multi-texture optimization problem. Our approach can deal with both model inaccuracy and image to model misalignment, making it possible to create high-fidelity surface light field models without using high-precision special hardware.},
keywords={},
doi={10.1587/transinf.2018EDL8072},
ISSN={1745-1361},
month={December},}
Salinan
TY - JOUR
TI - Patch Optimization for Surface Light Field Reconstruction
T2 - IEICE TRANSACTIONS on Information
SP - 3267
EP - 3271
AU - Wei LI
AU - Huajun GONG
AU - Chunlin SHEN
AU - Yi WU
PY - 2018
DO - 10.1587/transinf.2018EDL8072
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2018
AB - Surface light field advances conventional light field rendering techniques by utilizing geometry information. Using surface light field, real-world objects with complex appearance could be faithfully represented. This capability could play an important role in many VR/AR applications. However, an accurate geometric model is needed for surface light field sampling and processing, which limits its wide usage since many objects of interests are difficult to reconstruct with their usually very complex appearances. We propose a novel two-step optimization framework to reduce the dependency of accurate geometry. The key insight is to treat surface light field sampling as a multi-view multi-texture optimization problem. Our approach can deal with both model inaccuracy and image to model misalignment, making it possible to create high-fidelity surface light field models without using high-precision special hardware.
ER -