@inproceedings{03e2b2e6472048358f99d2620233b70c,
title = "Disparity search range estimation: Enforcing temporal consistency",
abstract = "This paper presents a new approach for estimating the disparity search range in stereo video that enforces temporal consistency. Reliable search range estimation is very important since an incorrect estimate causes most stereo matching methods to get trapped in local minima or produce unstable results over time. In this work, the search range is estimated based on a disparity histogram that is generated with sparse feature matching algorithms such as SURF. To achieve more stable results over time, we further propose to enforce temporal consistency by calculating a weighted sum of temporally-neighboring histograms, where the weights are determined by the similarity of depth distribution between frames. Experimental results show that this proposed method yields accurate disparity search ranges for several challenging stereo videos and is robust to various forms of noise, scene complexity and camera configurations.",
keywords = "Disparity histogram, Disparity search range, Feature matching, Temporal consistency",
author = "Dongbo Min and Sehoon Yea and Zafer Arican and Anthony Vetro",
year = "2010",
doi = "10.1109/ICASSP.2010.5496135",
language = "English",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2366--2369",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
note = "null ; Conference date: 14-03-2010 Through 19-03-2010",
}