Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph segmentation
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Haidi Ibrahim | Rostam Affendi Hamzah | R. A. Hamzah | Anwar Hasni Abu Hassan | H. Ibrahim | A. Hassan
[1] Yuan Zhou,et al. Stereo matching based on guided filter and segmentation , 2015 .
[2] Jonathan M. Garibaldi,et al. Real-Time Correlation-Based Stereo Vision with Reduced Border Errors , 2002, International Journal of Computer Vision.
[3] Weiming Dong,et al. Segment-tree based cost aggregation for stereo matching with enhanced segmentation advantage , 2013, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] C. Stentoumis,et al. On accurate dense stereo-matching using a local adaptive multi-cost approach , 2014 .
[5] Truong Q. Nguyen,et al. Local Disparity Estimation With Three-Moded Cross Census and Advanced Support Weight , 2013, IEEE Transactions on Multimedia.
[6] Petros Daras,et al. Enhanced disparity estimation in stereo images , 2015, Image Vis. Comput..
[7] Yann LeCun,et al. Computing the stereo matching cost with a convolutional neural network , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Xiu Hua Jiang,et al. A Fast Stereo Matching Algorithm Based on Fixed-Window , 2013 .
[9] Joost van de Weijer,et al. Accurate Stereo Matching by Two-Step Energy Minimization , 2015, IEEE Transactions on Image Processing.
[10] Xing Mei,et al. On building an accurate stereo matching system on graphics hardware , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[11] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Petros Daras,et al. Content-Based Guided Image Filtering, Weighted Semi-Global Optimization, and Efficient Disparity Refinement for Fast and Accurate Disparity Estimation , 2016, IEEE Transactions on Multimedia.
[13] Changming Sun,et al. Stereo matching using cost volume watershed and region merging , 2014, Signal Process. Image Commun..
[14] Antonios Gasteratos,et al. A stereo matching approach based on particle filters and scattered control landmarks , 2015, Image Vis. Comput..
[15] Qingxiong Yang,et al. A non-local cost aggregation method for stereo matching , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Rafael Grompone von Gioi,et al. LSD: a Line Segment Detector , 2012, Image Process. Line.
[17] Cheng Zhang,et al. Accurate Image-Guided Stereo Matching With Efficient Matching Cost and Disparity Refinement , 2016, IEEE Transactions on Circuits and Systems for Video Technology.
[18] Jian Sun,et al. Guided Image Filtering , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Lei Zhang,et al. Effective stereo matching using reliable points based graph cut , 2013, 2013 Visual Communications and Image Processing (VCIP).
[20] Rudy Lauwereins,et al. Real-Time and Accurate Stereo: A Scalable Approach With Bitwise Fast Voting on CUDA , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[21] Minh N. Do,et al. Depth Video Enhancement Based on Weighted Mode Filtering , 2012, IEEE Transactions on Image Processing.
[22] Julian Eggert,et al. Anisotropic Median Filtering for Stereo Disparity Map Refinement , 2018, VISAPP.
[23] Sheng Liu,et al. Superpixel-Based Global Optimization Method for Stereo Disparity Estimation , 2014, CCPR.
[24] Chen Yang,et al. Real-time hardware stereo matching using guided image filter , 2016, 2016 International Great Lakes Symposium on VLSI (GLSVLSI).
[25] Jean-François Nezan,et al. Real-time GPU-based local stereo matching method , 2013, 2013 Conference on Design and Architectures for Signal and Image Processing.
[26] Enhua Wu,et al. Constant Time Weighted Median Filtering for Stereo Matching and Beyond , 2013, 2013 IEEE International Conference on Computer Vision.
[27] Andreas Geiger,et al. Efficient Large-Scale Stereo Matching , 2010, ACCV.
[28] Lifeng Sun,et al. Binary stereo matching , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[29] Xi Wang,et al. High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth , 2014, GCPR.
[30] In-So Kweon,et al. Adaptive Support-Weight Approach for Correspondence Search , 2006, IEEE Trans. Pattern Anal. Mach. Intell..
[31] Dieter Fritsch,et al. IMAGE ACQUISITION AND MODEL SELECTION FOR MULTI-VIEW STEREO , 2013 .
[32] Shiqiang Zhu,et al. Edge-preserving guided filtering based cost aggregation for stereo matching , 2016, J. Vis. Commun. Image Represent..
[33] Il Hong Suh,et al. Robust stereo matching using adaptive random walk with restart algorithm , 2015, Image Vis. Comput..
[34] Andreas Geiger,et al. Object scene flow for autonomous vehicles , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Liming Chen,et al. A Fast Trilateral Filter-Based Adaptive Support Weight Method for Stereo Matching , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[36] Federico Tombari,et al. Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework , 2007, ACCV.
[37] Zheng Li,et al. Local Stereo Matching Using Combined Matching Cost and Adaptive Cost Aggregation , 2015, KSII Trans. Internet Inf. Syst..
[38] Heiko Hirschmüller,et al. Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[39] Daniel P. Huttenlocher,et al. Efficient Graph-Based Image Segmentation , 2004, International Journal of Computer Vision.
[40] Qunsheng Peng,et al. Depth map enhancement based on color and depth consistency , 2013, The Visual Computer.
[41] Wang Xiaofeng,et al. Accurate Belief Propagation with parametric and non-parametric measure for stereo matching , 2015 .
[42] Richard Szeliski,et al. Efficient High-Resolution Stereo Matching Using Local Plane Sweeps , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Pascal Monasse,et al. Stereo Disparity through Cost Aggregation with Guided Filter , 2014, Image Process. Line.
[44] Zheng Li,et al. Stereo matching algorithm with guided filter and modified dynamic programming , 2015, Multimedia Tools and Applications.
[45] F. Bethmann,et al. Semi-Global Matching in Object Space , 2015 .
[46] Carsten Rother,et al. REal-time local stereo matching using guided image filtering , 2011, 2011 IEEE International Conference on Multimedia and Expo.
[47] Dongxiao Li,et al. Fast stereo matching using adaptive guided filtering , 2014, Image Vis. Comput..
[48] Richard Szeliski,et al. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.
[49] Martin Humenberger,et al. A census-based stereo vision algorithm using modified Semi-Global Matching and plane fitting to improve matching quality , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[50] Haidi Ibrahim,et al. Literature Survey on Stereo Vision Disparity Map Algorithms , 2016, J. Sensors.
[51] Ronggang Wang,et al. Stereo matching with space-constrained cost aggregation and segmentation-based disparity refinement , 2015, Electronic Imaging.