@inproceedings{d951aab8423b4fd6854b20e43dcab96d,
title = "Stereoscopic Disparity Generation Reduction using a Dilated Laplacian Approach",
abstract = "This paper covers the need to reduce the requirement for disparity generation for real-time video processing. The motivation for the change and the methodology are discussed. The presented algorithm, a dilated Laplacian approach to guiding regenerations, reduces the requirement by an average of 49% but maintains a map accuracy of 89%.",
keywords = "Computer Vision, Disparity Generation, Laplacian",
author = "Ross Davies and Ian Wilson and Andrew Ware",
year = "2015",
doi = "10.1109/IWSSIP.2015.7314187",
language = "English",
series = "International Conference on Systems Signal and Image Processing",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "101--104",
editor = "P Liatsis and A Uus and S Miah",
booktitle = "2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015)",
note = "22nd International Conference on Systems, Signals and Image Processing (IWSSIP) ; Conference date: 10-09-2015 Through 12-09-2015",
}