@inproceedings{e74064a59a484ed5a8f0cfb1c3bb2f3c,
title = "A light field sparse representation structure and its fast coding technique",
abstract = "The dimensionality of light field data is typically very large for efficient implementation of sparse representation algorithms, such as for dictionary training and sparse coding. We propose a framework for creating light field dictionary using the method of perspective-shearing. Such a dictionary has a special organized structure for different central view patterns and perspective disparities. Based on this dictionary structure, a two-stage sparse coding algorithm is proposed to speed up the reconstruction process by incorporating an interim Winner- Take-All (WTA) hash coding stage into the Orthogonal Matching Pursuit (OMP) algorithm; this stage proves to speed up the sparse coding process by almost three times but still maintains the reconstruction quality. The proposed scheme produces impressive light field reconstruction qualities for compressed light field sensing.",
keywords = "Compressed sensing, Light field, Perspective shearing, Two-stage coding, WTA hashing",
author = "Jie Chen and Alexander Matyasko and Chau, {Lap Pui}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 19th International Conference on Digital Signal Processing, DSP 2014 ; Conference date: 20-08-2014 Through 23-08-2014",
year = "2014",
month = aug,
doi = "10.1109/ICDSP.2014.6900831",
language = "English",
series = "International Conference on Digital Signal Processing, DSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "214--218",
booktitle = "2014 19th International Conference on Digital Signal Processing, DSP 2014",
}