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Epipolar Transformers [article]

Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu
2020 arXiv   pre-print
Inspired by stereo matching, the epipolar transformer leverages epipolar constraints and feature matching to approximate the features at p'.  ...  Therefore, we propose the differentiable "epipolar transformer", which enables the 2D detector to leverage 3D-aware features to improve 2D pose estimation.  ...  transformer late stage epipolar transformer input (3×256×256) (a) (b) early stage epipolar transformer late stage epipolar transformer hourglass 256×128×84 respecitively: 1.  ... 
arXiv:2005.04551v1 fatcat:tugqthz7tzelhgk2nbpazp7cuq

Epipolar Transformers

Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Inspired by stereo matching, the epipolar transformer leverages epipolar constraints and feature matching to approximate the features at p ′ .  ...  Therefore, we propose the differentiable "epipolar transformer", which enables the 2D detector to leverage 3D-aware features to improve 2D pose estimation.  ...  The Epipolar Transformer Our epipolar transformer consists of two main components: the epipolar sampler and the feature fusion module.  ... 
doi:10.1109/cvpr42600.2020.00780 dblp:conf/cvpr/HeYFY20a fatcat:xr6e43m4izbypmirjua66fyfti

Stereo Matching Using Epipolar Distance Transform

Qingxiong Yang, Narendra Ahuja
2012 IEEE Transactions on Image Processing  
In this paper, we propose a simple but effective image transform, called the epipolar distance transform, for matching low-texture regions.  ...  It converts image intensity values to a relative location inside a planar segment along the epipolar line, such that pixels in the low-texture regions become distinguishable.  ...  Epipolar Distance Transform In this section, we present a new image transform -epipolar distance transform -to capture the image structure.  ... 
doi:10.1109/tip.2012.2207393 pmid:22801509 fatcat:kd2g5qsvjvhb7i33ztunaalq7a

3D Scene Reconstruction with Multi-layer Depth and Epipolar Transformers [article]

Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes
2019 arXiv   pre-print
We demonstrate the advantages of multi-layer depth representations and epipolar feature transformers on the reconstruction of a large database of indoor scenes.  ...  To improve the accuracy of view-centered representations for complex scenes, we introduce a novel "Epipolar Feature Transformer" that transfers convolutional network features from an input view to other  ...  The frustum mask can be computed by applying the epipolar transform with F = 1, W = 1.  ... 
arXiv:1902.06729v2 fatcat:wx2fykac65hebamdcluyfsn6gu

Epipolar Transformer for Multi-view Human Pose Estimation

Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Inspired by stereo matching, the epipolar transformer leverages epipolar constraints and feature matching to approximate the features at p ′ .  ...  Therefore, we propose the differentiable "epipolar transformer", which empowers the 2D detector to leverage 3D-aware features to improve 2D pose estimation.  ...  The Epipolar Transformer There are two main components to our epipolar transformer: the epipolar sampler and the feature fusion module.  ... 
doi:10.1109/cvprw50498.2020.00526 dblp:conf/cvpr/HeYFY20 fatcat:gtzj5vt7erhihk7pqzhl66u4ya

MVSTER: Epipolar Transformer for Efficient Multi-View Stereo [article]

Xiaofeng Wang, Zheng Zhu, Fangbo Qin, Yun Ye, Guan Huang, Xu Chi, Yijia He, Xingang Wang
2022 arXiv   pre-print
Specifically, the epipolar Transformer utilizes a detachable monocular depth estimator to enhance 2D semantics and uses cross-attention to construct data-dependent 3D associations along epipolar line.  ...  Therefore, we present MVSTER, which leverages the proposed epipolar Transformer to learn both 2D semantics and 3D spatial associations efficiently.  ...  Epipolar Transformer Next, we introduce the epipolar Transformer to aggregate source volumes from different views.  ... 
arXiv:2204.07346v1 fatcat:e6lenycj3fas3ow4rd47v5px2q

Epipolar geometry and log-polar transform in wide baseline stereo matching

Kimmo Palander, Sami S. Brandt
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
This paper presents an interesting observation that epipolar geometry and log-polar transform can be naturally combined by setting the center of the log-polar transform into the epipoles.  ...  This choice preserves the linearity of the epipolar lines.  ...  Conclusions We have proposed to use the log-polar transform with epipolar geometry by setting the center of the transform into the epipoles.  ... 
doi:10.1109/icpr.2008.4761515 dblp:conf/icpr/PalanderB08 fatcat:wivwuqhrd5fvxbrkkjumy5acju

Multi and single epipolar geometry-based filters vs. affine and conformal 2D transformation-based filters

Mustafa M. Amami
2022 Global Journal of Engineering and Technology Advances  
Conformal 2D transformation-based Filter (C-2DF), affine 2D transformation-based Filter (A-2DF) and Single Epipolar Geometry-based Filter (S-EGF) are common filters used in ORN.  ...  Multi-Epipolar Geometry-based Filter (M-EGF) has been introduced, tested and evaluated by the author and compared by each filter of those mentioned above in separate research papers.  ...  A conformal transformation is one of the main two-dimensional transformation models, in which true shape is preserved after the transformation.  ... 
doi:10.30574/gjeta.2022.10.3.0047 fatcat:7athq6oisfbgjjqx6lszecu7bi

Comparison Between Multi Epipolar Geometry and Conformal 2d Transformation-Based Filters for Optical Robot Navigation

Mustafa M. Amami
2022 International Journal for Research in Applied Science and Engineering Technology  
Conformal 2D transformation-based Filter (C-2DF) is a common filter used in ORN applications.  ...  Abstract: This research paper comes in a series of comparisons between the Multi Epipolar Geometry-based Filter (M-EGF) and the common filters that are extensively used in Optical Robot Navigation (ORN  ...  A conformal transformation is one of 2D transformation models, in which true shape is preserved after the transformation.  ... 
doi:10.22214/ijraset.2022.40651 fatcat:g5gara2exffvbhbwrp5zy6wgwi

Comparison between Multi Epipolar Geometry & Affine 2d Transformation-Based Filters for Optical Robot Navigation

Mustafa M. Amami
2022 International Journal for Research in Applied Science and Engineering Technology  
Keywords: Optical Robot Navigation, Epipolar Geometry, Automatic Image Matching, Co-planarity Equation, Real Time Applications, Affine 2D Transformation  ...  Abstract: In previous research papers, Multi Epipolar Geometry-based Filter (M-EGF) has proven its high capability to overcome Single Epipolar Geometry-based Filter (S-EGF) as well as with conformal 2D  ...  THE MATHEMATICAL DESCRIPTION A. 2D Affine Transformation-Based Filter (A-2DF) 2D affine transformation is the advanced version of 2D conformal transformation, where it can deal with 2 different scales,  ... 
doi:10.22214/ijraset.2022.40652 fatcat:wfplypzrl5avfpv3au6enxr74a

Estimation Of Epipolar Geometry Via The Radon Transform

S. Lehmann, A.P. Bradley, I. Vaughan, L. Clarkson
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings  
One of the key problems in computer vision is the recovery of epipolar geometry constraints between different camera views.  ...  To overcome these limitations, we propose a novel approach that estimates epipolar geometry constraints based on a statistical model in the RADON domain.  ...  For small transformations and high outlier percentages, the proposed approach showed even smaller MDS than RANSAC.  ... 
doi:10.1109/icassp.2006.1660388 dblp:conf/icassp/LehmannBC06 fatcat:2x4y5rrt3fcpjacsjqplrstwwq

Accurate Closed-form Estimation of Local Affine Transformations Consistent with the Epipolar Geometry

Daniel Barath, Jiri Matas, Levente Hajder
2016 Procedings of the British Machine Vision Conference 2016   unpublished
A novel method is proposed for accurate estimation of local affine transformations for a pair of images satisfying the epipolar constraint.  ...  The method returns the closest, in least squares sense, affine transformation to an initial estimate consistent with the fundamental matrix.  ...  A novel method is proposed for accurate estimation of local affine transformations for a pair of images satisfying the epipolar constraint.  ... 
doi:10.5244/c.30.11 fatcat:yf7fzi7kk5d4xm3quoot35s66y

Estimation of rigid body motion and scene structure from image sequences using a novel epipolar transform

E. Steinbach, B. Girod
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings  
A novel Epipolar Transform is utilized to preserve the relevant information from mean squared displaced frame difference (DFD) surfaces and thus overcomes the inherent limitations of feature correspondence  ...  Applying the Epipolar Transform. to the DFD surface is illustrated in Figure 2 .  ...  parameters over all measurement windows as the result of the Epipolar Transform.  ... 
doi:10.1109/icassp.1996.544824 dblp:conf/icassp/SteinbachG96 fatcat:f4p4yuu4czd25efswzpfkura4e

Closed-form stereo image rectification

Changming Sun
2012 Proceedings of the 27th Conference on Image and Vision Computing New Zealand - IVCNZ '12  
Stereo image rectification transforms a pair of images into a new pair such that the epipolar lines in the transformed images have the same direction as the image rows and matching epipolar lines in di  ...  The algorithm involves only direct and purely geometric transformation processes. There is no iterative or optimization processes for the rectification parameter estimation in our method.  ...  This research was partially supported by the CSIRO's Transformational Biology Capability Platform.  ... 
doi:10.1145/2425836.2425866 dblp:conf/ivcnz/Sun12 fatcat:joonfd5i7vdbrbkykdixk523iq

On the probabilistic epipolar geometry

Sami S. Brandt
2008 Image and Vision Computing  
We will also show that the eigenvectors of the epipolar line covariance matrix have certain interpretations on the image plane, of which one is the previously observed, narrowest point of the epipolar  ...  point pair will satisfy the true epipolar geometry and be, in this sense, a feasible candidate correspondence pair?  ...  The mean epipolar line is the origin in the transformed dual space π ¼ since e 3 U T u 3 .  ... 
doi:10.1016/j.imavis.2006.12.002 fatcat:h53r2i3xufay3ebxefnecnyvmu
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