BriefMatch: Dense Binary Feature Matching for Real-Time Optical Flow Estimation
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[1] Cordelia Schmid,et al. DeepFlow: Large Displacement Optical Flow with Deep Matching , 2013, 2013 IEEE International Conference on Computer Vision.
[2] 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.
[3] Mariano Rivera,et al. Optical Flow Estimation with Prior Models Obtained from Phase Correlation , 2010, ISVC.
[4] Cordelia Schmid,et al. EpicFlow: Edge-preserving interpolation of correspondences for optical flow , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Gerard de Haan,et al. Smoothness Constraints in Recursive Search Motion Estimation for Picture Rate Conversion , 2010, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Richard Szeliski,et al. A Database and Evaluation Methodology for Optical Flow , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[7] Hailin Jin,et al. Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow , 2014, CVPR.
[8] Ying Wu,et al. Large Displacement Optical Flow from Nearest Neighbor Fields , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Thomas Brox,et al. FlowNet: Learning Optical Flow with Convolutional Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[10] Minh N. Do,et al. Patch Match Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Lifeng Sun,et al. Binary stereo matching , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[12] R. Venkatesh Babu,et al. Optical flow estimation using Approximate Nearest Neighbor Field fusion , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[13] Fridtjof Stein,et al. Efficient Computation of Optical Flow Using the Census Transform , 2004, DAGM-Symposium.
[14] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[15] Konrad Schindler,et al. An Evaluation of Data Costs for Optical Flow , 2013, GCPR.
[16] Gunnar Farnebäck,et al. Two-Frame Motion Estimation Based on Polynomial Expansion , 2003, SCIA.
[17] Tae Hyun Kim,et al. Optical Flow via Locally Adaptive Fusion of Complementary Data Costs , 2013, 2013 IEEE International Conference on Computer Vision.
[18] Didier Stricker,et al. Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Ramin Zabih,et al. Non-parametric Local Transforms for Computing Visual Correspondence , 1994, ECCV.
[20] Matti Pietikäinen,et al. Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[21] Ethan Rublee,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[22] Thomas Brox,et al. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Tiow Seng Tan,et al. Jump flooding in GPU with applications to Voronoi diagram and distance transform , 2006, I3D '06.
[24] Joachim Weickert,et al. Why Is the Census Transform Good for Robust Optic Flow Computation? , 2013, SSVM.
[25] Martin Humenberger,et al. Fast PatchMatch stereo matching using cross-scale cost fusion for automotive applications , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).
[26] Eli Shechtman,et al. PatchMatch: a randomized correspondence algorithm for structural image editing , 2009, ACM Trans. Graph..
[27] Thomas Brox,et al. High Accuracy Optical Flow Estimation Based on a Theory for Warping , 2004, ECCV.
[28] Jens Rannacher,et al. Realtime 3 D Motion Estimation on Graphics Hardware , 2010 .
[29] J.-Y. Bouguet,et al. Pyramidal implementation of the lucas kanade feature tracker , 1999 .
[30] Heiko Hirschmüller,et al. Evaluation of Stereo Matching Costs on Images with Radiometric Differences , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Yasuyuki Matsushita,et al. Motion detail preserving optical flow estimation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[32] Rudolf Mester,et al. Illumination-Robust Dense Optical Flow Using Census Signatures , 2011, DAGM-Symposium.
[33] Jitendra Malik,et al. Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Vincent Lepetit,et al. BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.
[35] Carsten Rother,et al. PatchMatch Stereo - Stereo Matching with Slanted Support Windows , 2011, BMVC.
[36] Luc Van Gool,et al. Fast Optical Flow Using Dense Inverse Search , 2016, ECCV.