TY - GEN
T1 - Robust Surface Light Field Modeling
AU - Li, Wei
AU - Qiao, Hui
AU - Zhao, Chen
AU - Wu, Zhongqin
AU - Yang, Ruigang
PY - 2018/6/26
Y1 - 2018/6/26
N2 - 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 if not impossible to reconstruct with their usually very complex appearances. We propose a novel optimization framework to reduce the dependency of accurate geometry. The key insight is to treat surface light sampling as a multi-view multi-texture optimization problem. Our approach can deal with both model inaccuracy and texture to model misalignment, making it possible to create high-fidelity surface light field models without using high-precision special hardware.
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 if not impossible to reconstruct with their usually very complex appearances. We propose a novel optimization framework to reduce the dependency of accurate geometry. The key insight is to treat surface light sampling as a multi-view multi-texture optimization problem. Our approach can deal with both model inaccuracy and texture to model misalignment, making it possible to create high-fidelity surface light field models without using high-precision special hardware.
KW - AR/VR
KW - image based rendering
KW - light filed
KW - surface light filed
UR - http://www.scopus.com/inward/record.url?scp=85050116353&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050116353&partnerID=8YFLogxK
U2 - 10.1109/MIPR.2018.00073
DO - 10.1109/MIPR.2018.00073
M3 - Conference contribution
AN - SCOPUS:85050116353
T3 - Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018
SP - 321
EP - 327
BT - Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018
Y2 - 10 April 2018 through 12 April 2018
ER -