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Fast Affine Invariant Image Matching

Mariano Rodríguez, Julie Delon, Jean-Michel Morel
2018 Image Processing On Line  
Finally, we also propose a matching criterion allowing each keypoint of the query image to be matched with several keypoints of the target image, in order to deal with situations where an object is repeated  ...  Methods performing Image Matching by Affine Simulation (IMAS) attain affine invariance by applying a finite set of affine transforms to the images before comparing them with a Scale Invariant Image Matching  ...  One way of allowing one-to-multiple matches that are truly present in the target image is to create an a contrario model from an independent base of keypoints.  ... 
doi:10.5201/ipol.2018.225 fatcat:b2tpa4nlzzeqhpdcglzscl4gnu

Maximizing feature detection in aerial unmanned aerial vehicle datasets

Jonathan Byrne, Debra F. Laefer, Evan O'Keeffe
2017 Journal of Applied Remote Sensing  
The image matching results are tested experimentally, and an approach to detecting false matches is outlined.  ...  when applied to a wide range of disparate urban and rural images.  ...  The algorithm then matches them across multiple images to form an initial set of patches and uses an expansion procedure to obtain a denser set of patches, before assigning visibility constraints (e.g.  ... 
doi:10.1117/1.jrs.11.025015 fatcat:clgksvkcp5akfiipbsfv4dwhwa

Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis

A. Flenner, L. Peterson, J. Bunk, T.M. Mohammed, L. Nataraj, B.S. Manjunath
2018 IS&T International Symposium on Electronic Imaging Science and Technology  
We use a-contrario hypothesis testing to both identify if the patterns of the manipulated blocks indicate if the image has been tampered with and to localize the manipulation.  ...  In this paper we discuss a method to automatically detect local resampling using deep learning while controlling the false alarm rate using a-contrario analysis.  ...  Acknowledgments This research was developed with funding from the Defense Advanced Research Projects Agency (DARPA).  ... 
doi:10.2352/issn.2470-1173.2018.07.mwsf-212 fatcat:snacz3wjkrgxdefx3tvlojuohu

Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis [article]

Arjuna Flenner, Lawrence Peterson, Jason Bunk, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, B.S. Manjunath
2018 arXiv   pre-print
We use a-contrario hypothesis testing to both identify if the patterns of the manipulated blocks indicate if the image has been tampered with and to localize the manipulation.  ...  In this paper we discuss a method to automatically detect local resampling using deep learning while controlling the false alarm rate using a-contrario analysis.  ...  Acknowledgments This research was developed with funding from the Defense Advanced Research Projects Agency (DARPA).  ... 
arXiv:1803.01711v1 fatcat:yjs64koy3jdkzagvzmdxu5ap3u

A Statistical Approach to the Matching of Local Features

J. Rabin, J. Delon, Y. Gousseau
2009 SIAM Journal of Imaging Sciences  
Our second and main contribution is a statistical framework for the matching procedure, which yields validation thresholds automatically adapted to the complexity of each query descriptor and to the diversity  ...  The method makes it possible to detect multiple occurrences, as well as to deal with situations where the target is not present.  ...  Delon acknowledges the support of the French Agence Nationale de la Recherche (ANR), under grant BLAN07-2 183172, Optimal transport: Theory and applications  ... 
doi:10.1137/090751359 fatcat:k7rcovpp3rdv5krro2rs72xufe

Accurate Junction Detection and Characterization in Natural Images

Gui-Song Xia, Julie Delon, Yann Gousseau
2013 International Journal of Computer Vision  
Contrary to classical approaches, scale characterization does not rely on the linear scale-space. First, an a contrario approach is used to compute the meaningfulness of a junction.  ...  The first asset of the proposed procedure is an automatic criterion for the detection of junctions, permitting to deal with textured parts in which no detection is expected.  ...  Acknowledgments The authors would like to thank Stéphane Belardi, who implemented a primary version of this algorithm, Michael Lindenbaum for his comments and suggestions and Wolfgang Förstner and Michael  ... 
doi:10.1007/s11263-013-0640-1 fatcat:xxzt2u4v6ngtzdocptfkhuwqsu

2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14

2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, JSTARS 2021 11324-11334 Development of an Imagewise Stacking Method to Mitigate Atmospheric Effect With an Application to Lianyan Railway.  ...  ., +, JSTARS 2021 10079-10090 Atmospheric turbulence Development of an Imagewise Stacking Method to Mitigate Atmospheric Effect With an Application to Lianyan Railway.  ... 
doi:10.1109/jstars.2022.3143012 fatcat:dnetkulbyvdyne7zxlblmek2qy

Image splicing detection with local illumination estimation

Yu Fan, Philippe Carre, Christine Fernandez-Maloigne
2015 2015 IEEE International Conference on Image Processing (ICIP)  
-Understand criteria by which to select and interpret a particular metric for a particular application .  ...  We will examine a variety of applications with special emphasis on image and video compression .  ...  a human action recognition system that runs in realtime and uses a combination of a depth camera and an inertial sensor simultaneously .  ... 
doi:10.1109/icip.2015.7351341 dblp:conf/icip/FanCF15 fatcat:7ja5gjnp5rafvedc2nman7xcru

Registration of synthetic aperture imagery using feature matching [article]

Victor T. Wang, University Of Canterbury
2018
This method produced an accurate alignment to within 0.03 pixels for a simulated repeat-pass scene with a 0.2m baseline.  ...  An important application in sonar research is change detection, which is reliant on accurate alignment of repeat-pass images.  ...  Moisan and Stival [2004] used a contrario RANSAC to handle situations with few inliers.  ... 
doi:10.26021/1636 fatcat:wdg6bwv6yvgz7h54wakxgpsbry

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
of Matching-Graphs a Novel Approach for Graph Classification DAY 3 -Jan 14, 2021 Georgiou, Theodoros; Schmitt, Sebastian; Baeck, Thomas; Chen, Wei; Lew, Michael 2420 Norm Loss: An Efficient  ...  Novel Disaster Image Data-Set and Characteristics Analysis Using Attention Model DAY 3 -Jan 14, 2021 Lotfian, Sina; Foroosh, Hassan 1416 Multi-Scale Keypoint Matching DAY 3 -Jan 14, 2021 Hati,  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

Variational Approaches for Motion and Structure from Monocular Video

Andreas Neufeld
2017
The geometry of multiple views creates blind spots in the images, and adds a scale ambiguity, which both to not exist in a setup with multiple cameras.  ...  In addition to evaluation on publicly available evaluation data, we evaluate on a new rendered dataset with ground truth plane normals.  ...  The a-contrario model finds exactly the correct match on those two by looking at only the first 50 of 625 principal components, but returns a wrong match on the third patch.  ... 
doi:10.11588/heidok.00023722 fatcat:7eifp6svbja33hu3pkrxaugw6q

Room layout and interior detection

Lea Aichner, Werner Purgathofer
2020
This diploma thesis introduces an Android application that allows a user to digitize a real room including the interior, and visualize it as a 2d floor plan.  ...  Another field of application is the visualization and selling of furniture in an interior design application.  ...  However, it is assumed that there’s only one valid match in the image B for a feature in image A  ... 
doi:10.34726/hss.2019.60861 fatcat:ocy7xgvx3vd6tbo537fcw2trdu

Robust RGB-D odometry under depth uncertainty for structured environments

Pedro F. Proenca
2018
Visual odometry, the process of tracking the trajectory of a moving camera based on its captured video is a fundamental problem behind autonomous mobile robotics and augmented reality applications.  ...  These spaces, contrary to natural environments, follow mainly a rectilinear structure made of simple geometric entities.  ...  Acknowledgements I would like to thank Prof. Yang Gao for her supervision. The right balance of encouragement and criticism that allowed me to be creative while keeping my feet on the floor.  ... 
doi:10.15126/thesis.00849961 fatcat:6dsz2knir5gcpmvxqwc6oxjjaa