TY - GEN
T1 - Evaluating multi-scale over-segment and its contribution to real scene stereo matching by high-order MRFs
AU - Xie, Yiran
AU - Cao, Rui
AU - Tong, Hanyang
AU - Liu, Sheng
AU - Liu, Nianjun
PY - 2010
Y1 - 2010
N2 - The paper is to propose a framework to qualitatively and quantitatively evaluate five of state-of-the-art over-segment approaches. Moreover upon over-segments evaluation, an efficient approach is developed for dense stereo matching through robust higher-order MRFs and graph cut based optimization, which combines the conventional data and smoothness terms with the robust higher-order potential term. The experimental results on real-scene data sets clearly demonstrate that our over-segment-based higher-order stereo matching approach outperforms conventional stereo matching algorithms, as well as how over-segments improve the stereo matching process.
AB - The paper is to propose a framework to qualitatively and quantitatively evaluate five of state-of-the-art over-segment approaches. Moreover upon over-segments evaluation, an efficient approach is developed for dense stereo matching through robust higher-order MRFs and graph cut based optimization, which combines the conventional data and smoothness terms with the robust higher-order potential term. The experimental results on real-scene data sets clearly demonstrate that our over-segment-based higher-order stereo matching approach outperforms conventional stereo matching algorithms, as well as how over-segments improve the stereo matching process.
UR - http://www.scopus.com/inward/record.url?scp=79951656032&partnerID=8YFLogxK
U2 - 10.1109/DICTA.2010.50
DO - 10.1109/DICTA.2010.50
M3 - Conference contribution
SN - 9780769542713
T3 - Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010
SP - 235
EP - 240
BT - Proceedings - 2010 Digital Image Computing
T2 - International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010
Y2 - 1 December 2010 through 3 December 2010
ER -