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 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.
Original language | English |
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Title of host publication | Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018 |
Pages | 321-327 |
Number of pages | 7 |
ISBN (Electronic) | 9781538618578 |
DOIs | |
State | Published - Jun 26 2018 |
Event | 1st IEEE Conference on Multimedia Information Processing and Retrieval, MIPR 2018 - Miami, United States Duration: Apr 10 2018 → Apr 12 2018 |
Publication series
Name | Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018 |
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Conference
Conference | 1st IEEE Conference on Multimedia Information Processing and Retrieval, MIPR 2018 |
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Country/Territory | United States |
City | Miami |
Period | 4/10/18 → 4/12/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- AR/VR
- image based rendering
- light filed
- surface light filed
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Media Technology