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Outlier modeling in image matching
2003
IEEE Transactions on Pattern Analysis and Machine Intelligence
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By assuming that the error in pixel intensity generated by the outlier is similar to an error generated by comparing two random regions in the scene, we can build a model for the outliers based on the ...
When using digital photographs as input, we notice that an outlier is often a region that has been occluded, an object that suddenly appears in one of the images, or a region that undergoes an unexpected ...
ACKNOWLEDGMENTS The authors would like to thank Andrea Ridolfi for his help with Appendix A and the anonymous reviewers whose comments were very helpful in preparing a clearer presentation of their research ...
doi:10.1109/tpami.2003.1182094
fatcat:7fijzuzfczdffjwugvwhv5l7ii
A High Precision Feature Matching Method Based on Geometrical Outlier Removal for Remote Sensing Image Registration
2019
IEEE Access
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INDEX TERMS Remote sensing, image registration, feature matching, outlier removal, mathematical model. ...
A mathematical model is formulated based on the similarity of the geometric relationship of feature points in the reference image and the sensed image. ...
It can be seen in Table 2 that there are large number of the initial matches and the initial correct matches in image pair 2, which makes outlier removal easily. ...
doi:10.1109/access.2019.2951796
fatcat:os7jwzwwfzftnf2e7qsjg2gfym
SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation
[article]
2022
arXiv
pre-print
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While these models are trained in an end-to-end fashion to simplify the homography estimation problem, they lack the feature matching step and/or the outlier removal step, which are important steps in ...
In particular, the feature matching step is implemented using the cost volume technique. ...
In other words, a pixel on one image often has multiple high-scoring matches on another image, not just one match (see the visualization of the clean cost volume in Fig. 3 ). ...
arXiv:2208.14093v1
fatcat:fc2kblcyynahzaatkmtnxhl3jm
Bilateral Functions for Global Motion Modeling
[chapter]
2014
Lecture Notes in Computer Science
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This paper suggests modeling motion in a bilateral domain that augments spatial information with the motion itself. ...
We demonstrate how the model can reliably obtain large numbers of good quality correspondences over wide baselines, while keeping outliers to a minimum. ...
However, patch-match does not compute an explicit model and it is unclear how its formulation can extend to outlier removal or multi-image matching. ...
doi:10.1007/978-3-319-10593-2_23
fatcat:6hc2k77hcfdo7fggorjefnb4gi
CAISOV: Collinear Affine Invariance and Scale-Orientation Voting for Reliable Feature Matching
2022
Remote Sensing
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applied to achieve reliable outlier removal in the workflow of SfM-based UAV image orientation. ...
Due to the complex transformation model caused by photometric and geometric deformations, and the limited discriminative power of local feature descriptors, initial matches with high outlier ratios cannot ...
The values in the bracket indicate the number of connected images in the final models. ...
doi:10.3390/rs14133175
fatcat:jajjf2ihrrei3feyztpz6pabmy
IMPROVING RANSAC FEATURE MATCHING BASED ON GEOMETRIC RELATION
2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Among the matched point pairs, there are typically false positive matches. Therefore, outlier detection and rejection are important steps in any vision application. ...
In the proposed approach, the distances and angles are measured from a reference point in the first image and its correspondence in the other image, and the points with any significant differences are ...
Figure 3 . 3 Number of RANSAC iterations as a function of outlier ratio and model points.
Figure 4 . 4 (a) and (b) show the 2D matched points in both images. ...
doi:10.5194/isprs-archives-xliii-b2-2021-321-2021
fatcat:lqp5o5wpqzaihlwaysouj6xkku
Towards efficient mobile image-guided navigation through removal of outliers
2016
EURASIP Journal on Image and Video Processing
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Query images are matched later to these 3D models. High computational costs of image matching and limited storage require compressing point clouds without loss of positioning performance. ...
In each new model, the positions of test images were identified and compared to the according positions in the reference model. ...
Accordingly, n m is the total number of matched images in the model. ...
doi:10.1186/s13640-016-0146-1
fatcat:lygx5cyjunej3fvdq3mysoqofm
Neural Network-Based Stereo Vision Outlier Removal
2022
MATEC Web of Conferences
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It is shown how the addition of semantic segmentation does improve the accuracy of disparity measurements in stereo images, with a loss in processing speed. ...
Stereo vision systems rely on accurate feature matching to provide valid stereo reconstruction and pose estimation. This accuracy is achieved through outlier removal techniques, such as RANSAC. ...
try to match all corresponding pixels in both images. ...
doi:10.1051/matecconf/202237007009
fatcat:oob2rdicffgvbjlk7ho4egx5ri
Multiple Non-rigid Surface Detection and Registration
2013
2013 IEEE International Conference on Computer Vision
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To remove the outliers in the cluster, we propose a deterministic annealing approach based on the Thin Plate Spline (TPS) model. ...
Specifically, after we use low level feature points to obtain the initial matches between templates and the input image, a novel high-order affinity graph is constructed to model the consistency of local ...
points with their matched points in the test image. ...
doi:10.1109/iccv.2013.249
dblp:conf/iccv/WuIY13
fatcat:vzj3e7epfbcj3gd2ll2nulo5fi
Feature correspondence and deformable object matching via agglomerative correspondence clustering
2009
2009 IEEE 12th International Conference on Computer Vision
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model in the framework of hierarchical agglomerative clustering. ...
range of image matching problems. ...
Acknowledgements This work was supported in part by the Korea Re- ...
doi:10.1109/iccv.2009.5459322
dblp:conf/iccv/ChoLL09
fatcat:u6kplnndfzapdci5llyxcvqvvu
Geometric Correction for the Geostationary Ocean Color Imager from a Combination of Shoreline Matching and Frequency Matching
2018
Sensors
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Precise sensor modeling is performed with shoreline matching and random sample consensus (RANSAC) in the slots with shorelines. ...
Initial sensor modeling uses the sensor model equation for GOCI and metadata in order to remove geometric distortion due to the Earth's rotation and curvature in the slots without shorelines. ...
Inlier Outlier Inlier Outlier Inlier Outlier Inlier Outlier Inlier Outlier Inlier Outlier Inlier Outlier
Figure 13 . 13 Shoreline-matching-result images (after RANSAC). ...
doi:10.3390/s18113599
fatcat:3yd4jocyjbakrdcjcc5i2zzf3q
Robust Face Matching Under Large Occlusions
2007
14th International Conference on Image Analysis and Processing (ICIAP 2007)
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We propose a new maximum likelihood matching score with "soft masking" of outliers which is robust in these conditions. ...
Experiments with facial images from the MIT Face Database show the robustness of this technique in the presence of large occlusions. ...
By modelling both contrast and offset deviations as well as the possibility of outliers caused by large changes in the image being matched, we have shown that it is possible to match effectively even when ...
doi:10.1109/iciap.2007.4362819
dblp:conf/iciap/GimelfarbDMS07
fatcat:ufwai6yvg5aundjdxniitpnuga
Robust outliers detection in image point matching
2011
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)
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In order to overcome this limitation we propose a new algorithm, the Affine Parameters Estimation by Random Sampling (APERS), which detects the outliers in a given set of matched points. ...
Examples with real images and a shaded Digital Elevation Model are provided. ...
Mathematical Model In our model, outliers are seen as uniform random matches. Inliers are defined as the largest set of matches that follow the same transform. ...
doi:10.1109/iccvw.2011.6130241
dblp:conf/iccvw/BeckoucheLSA11
fatcat:6kqfdfphabaaxhvh6q5s56g4xi
Hierarchical Motion Consistency Constraint for Efficient Geometrical Verification in UAV Image Matching
[article]
2018
arXiv
pre-print
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First, considering the complex transformation model between correspondence set in the image-space, feature points of initial candidate matches are projected onto an elevation plane in the object-space, ...
This paper proposes a strategy for efficient geometrical verification in unmanned aerial vehicle (UAV) image matching. ...
Acknowledgment The authors would like to thank authors who have made their algorithms of SiftGPU as a free and open-source software package, which is really helpful to the research in this paper. ...
arXiv:1801.04096v1
fatcat:kbuhjoemcrff3inc4p4hg32fs4
PRELIMINARY INVESTIGATION OF THE ROBUSTNESS OF MAXIMALLY STABLE EXTREMAL REGIONS (MSER) MODEL FOR THE AUTOMATIC REGISTRATION OF OVERLAPPING IMAGES
2018
Geoplanning: Journal of Geomatics and Planning
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The obtained speed and accuracy shows that MSER is a very robust model and as such, can be deployed as the feature detection and extraction model in the development of an automatic image registration scheme ...
Various researchers in Digital Image processing have developed keen interest in the automation of object detection, description and extraction process used for various applications and this has led to ...
extraction model and the model used for the exclusion of outliers. ...
doi:10.14710/geoplanning.5.1.63-74
fatcat:vhlynw3dlngszlfhg7zxdzpjau
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