@inproceedings{f88e1292d96b411b81fef8d39319751e,
title = "Accurate depth-of-field rendering using adaptive bilateral depth filtering",
abstract = "Real-time depth of field (DoF) rendering is crucial to realistic image synthesis and VR applications. This paper presents a new method to simulate the depth-of-field effects with bilateral depth filtering. Unlike the traditional rendering methods that handle the depth-of-field with Gaussian filtering, we develop a new DoF filter, called adaptive bilateral depth filter, to adaptively postfilter the pixels according to their depth variance. Depth information is used to focus on the objects with edge-preserving property. Our approach can eliminate the artifacts of intensity leakage, which can generate adaptive high-quality DoF rendering effects dynamically, and can be fully implemented in GPU parallelization.",
keywords = "Depth of field, GPU, adaptive bilateral depth filtering, post-processing, virtual reality",
author = "Shang Wu and Kai Yu and Bin Sheng and Feiyue Huang and Feng Gao and Lizhuang Ma",
year = "2012",
doi = "10.1007/978-3-642-34263-9\_33",
language = "英语",
isbn = "9783642342622",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "258--265",
booktitle = "Computational Visual Media - First International Conference, CVM 2012, Proceedings",
note = "1st International Conference on Computational Visual Media, CVM 2012 ; Conference date: 08-11-2012 Through 10-11-2012",
}