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We present a deep convolutional neural network for estimating the relative homography between a pair of images.
Video mosaics for virtual environments
Richard Szeliski · 1996
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Markerless tracking using planar structures in the scene
G. Simon, A. Fitzgibbon, and A. Zisserman · 2000
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A flexible new technique for camera calibration
Zhengyou Zhang · 2000
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Multiple View Geometry in Computer Vision
R. I. Hartley and A. Zisserman · 2004
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Parameterizing homographies
Simon Baker, Ankur Datta, and Takeo Kanade · 2006
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Real-time monocular SLAM with straight lines
Paul Smith, Ian Reid, and Andrew Davison · 2006
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Automatic panoramic image stitching using invariant features
Matthew Brown and David G Lowe · 2007
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Discovering higher level structure in visual slam
A. P. Gee, D. Chekhlov, A. Calway, and W. Mayol-Cuevas · 2008
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Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski · 2011
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Imagenet classification with deep convolutional neural networks
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Depth map prediction from a single image using a multi-scale deep network
David Eigen, Christian Puhrsch, and Rob Fergus · 2014
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LSD-SLAM: Large-scale direct monocular SLAM
J. Engel, T. Schöps, and D. Cremers · 2014
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Caffe: Convolutional architecture for fast feature embedding
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Flownet: Learning optical flow with convolutional networks
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Orb-slam: A versatile and accurate monocular slam system
R. Mur-Artal, J. M. M. Montiel, and J. D. Tardós · 2015
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Deep Semantic Matching for Optical Flow
M. Bai, W. Luo, K. Kundu, and R. Urtasun · 2016
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Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Exploring representation learning with cnns for frame to frame ego-motion estimation
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