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The Representation and Matching of Images Using Top Points
2009
Journal of Mathematical Imaging and Vision
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In previous work, singular points (or top points) in the scale space representation of generic images have proven valuable for image matching. ...
This representation allows us to utilize coarse-tofine graph matching algorithms for comparing images represented in terms of top point configurations instead of using solely the top points and their features ...
For the comparison, we use a subset of the Amsterdam Library of Object Images (ALOI) [18] . The subset consists of 5 objects with 36 views per object. ...
doi:10.1007/s10851-009-0157-y
fatcat:zmsen53ohjgkdem4x2ufgerbnm
Hybrid Scene Compression for Visual Localization
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Localizing an image w.r.t. a 3D scene model represents a core task for many computer vision applications. ...
Furthermore, the localization rates and accuracy obtained with our approach are comparable to state-of-the-art feature-based methods, while using a small fraction of the memory. ...
We thank Google's Visual Positioning System for their support. ...
doi:10.1109/cvpr.2019.00784
dblp:conf/cvpr/CamposecoCPS19
fatcat:5nwacf5tbvfwfeiohmqsxhaufa
A Panoramic Localizer Based on Coarse-to-Fine Descriptors for Navigation Assistance
2020
Sensors
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In addition, the majority of current VPR algorithms are designed for forward-facing images, which can only provide with narrow Field of View (FoV) and come with severe viewpoint influences. ...
A comprehensive set of experiments is conducted on several datasets including both public benchmarks and our real-world campus scenes. ...
Acknowledgments: The fully electric instrumented vehicle utilized to capture panoramic annular images is provided by the Center for Robotics and Intelligent Manufacturing Engineering, College of Engineers ...
doi:10.3390/s20154177
pmid:32727159
fatcat:b444nimndrgjzjt733rm5vjg7e
Hybrid Scene Compression for Visual Localization
[article]
2019
arXiv
pre-print
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Localizing an image wrt. a 3D scene model represents a core task for many computer vision applications. ...
Furthermore, the localization rates and accuracy obtained with our approach are comparable to state-of-the-art feature-based methods, while using a small fraction of the memory. ...
We thank Google's Visual Positioning System for their support. ...
arXiv:1807.07512v2
fatcat:ltvxnbausffkxbwrbyk2mg2om4
Complexity-Based Integration Of Multi-Viewpoint Imagery For As-Is Roadway Map Generation
2007
Zenodo
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Publication in the conference proceedings of EUSIPCO, Poznan, Poland, 2007 ...
Suppose that objects are visualized as subsets of Ω and, without serious loss of generality, the object image to be detected, Λ, is identified within the Borel field F generated by the subsets of Ω. ...
criterion for precise matching of an object in multi-viewpoint images. ...
doi:10.5281/zenodo.40226
fatcat:2cfcl3ybr5gtzofvcgbmheeewq
Figure-Ground Organization in Visual Cortex for Natural Scenes
2016
eNeuro
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We found that about half of the neurons were border-ownership selective for contours in natural scenes, and this selectivity originated from the image context. ...
Thus, the cortical mechanisms of figure-ground organization are fast and efficient even in images of complex natural scenes. ...
We report here that a subset of neurons in visual area V2 are selective for border-ownership in images of natural scenes. ...
doi:10.1523/eneuro.0127-16.2016
pmid:28058269
pmcid:PMC5197405
fatcat:feph346turd3fpd6mrvyuq7g5m
Stratified Dense Matching for Stereopsis in Complex Scenes
2003
Procedings of the British Machine Vision Conference 2003
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Such features reduce the need for strong prior models (continuity) and thus algorithms that are less prone to false positive artefacts in general complex scenes can be applied. ...
Local joint image modeling in stereo matching brings more discriminable and stable matching features. ...
However, none of them (except for the search range) are critical for the matching process. The default values are: 5 × 5 initial matching window, and minimal component size of 25 pixels. ...
doi:10.5244/c.17.33
dblp:conf/bmvc/KostkovaS03
fatcat:nayso6azurdihmgxs2jka4ppdq
Figure-ground organization in visual cortex for natural scenes
[article]
2016
biorxiv/medrxiv
pre-print
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We found that about half of the neurons were border-ownership selective for contours in natural scenes and this selectivity originated from the image context. ...
Thus, the cortical mechanisms of figure-ground organization are fast and efficient even in images of complex natural scenes. Understanding how the brain performs this task so fast remains a challenge. ...
We report here that a subset of neurons in visual area V2 are selective for border-ownership in images of natural scenes. ...
doi:10.1101/053488
fatcat:7areakrwqzbfxlgrtkgndbtily
Optimizing Requirements for a Compact Spaceborne Adaptive Spectral Imaging System in Subpixel Target Detection Applications
2020
IEEE Journal on Miniaturization for Air and Space Systems
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The parameters we selected for analysis were target fill fraction, noise, number of bands, and scene complexity to find critical points in the trade space and reach a set of recommendations. ...
We used an analytic model to predict performance and generate trade curves, then simulated a scene to analyze potential operational effects on performance for the selected target and background combinations ...
The maximum k value was 12 for the most complex subset scene and V scene = 0.82, and k = 5 for the least complex subset scenes with V scene = 0.30. ...
doi:10.1109/jmass.2020.2994273
fatcat:7pak54kfcre67pmserjmpfsiwy
High resolution mapping of methane emissions from marine and terrestrial sources using a Cluster-Tuned Matched Filter technique and imaging spectrometry
2013
Remote Sensing of Environment
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In this study, a Cluster-Tuned Matched Filter (CTMF) technique was applied to data acquired by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) over marine and terrestrial locations known to ...
For a region with natural CH 4 and oil seepage located west of downtown Los Angeles, significant CH 4 anomalies were identified for known sources at the La Brea Tar Pits and in close proximity to probable ...
Acknowledgments The authors thank Joseph P. McFadden and anonymous reviewers for their insightful comments. ...
doi:10.1016/j.rse.2013.03.018
fatcat:65wpslz7wzebjmyxpnbep35er4
Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation
[article]
2018
arXiv
pre-print
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Band selection is a direct and effective method to remove redundant information and reduce the spectral dimension for decreasing computational complexity and avoiding the curse of dimensionality. ...
Finally, the specific bands will be selected, if they get higher weights than other bands in the representation of the original image. ...
The residual error of signals can be derived, then the atom matching the residual error best is selected contiguously. ...
arXiv:1802.06983v1
fatcat:7hts2aa76vflfangqkk3jqwviq
Multispectral-based color reproduction research at the Munsell Color Science Laboratory
1998
Electronic Imaging: Processing, Printing, and Publishing in Color
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For critical color-matching applications such as catalog sales, art-book reproductions, and computer-aided design, typical images, although pleasing, are unacceptable with respect to color accuracy. ...
The traditional techniques of image capture, scanning, proofing, and separating do not take advantage of colorimetry and spectrophotometry. ...
If the printer has a large set of inks from which to choose from, it should be possible to select a subset of inks that achieve a spectral match to critical scene elements. ...
doi:10.1117/12.324139
fatcat:dr5b5p2ds5bbrlmnmoxhmhkvxa
Divide and Conquer: Subset Matching for Scene Graph Generation in Complex Scenes
2022
IEEE Access
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The goal of scene graph generation (SGG) is to classify objects and their pair-wise relationships in a visual scene. ...
First, we decompose SGG into two types of subset matching problems: node subset matching and edge subset matching. ...
The scene graph for each image consists of 11.6 objects and 6.2 relationships on average. ...
doi:10.1109/access.2022.3165617
fatcat:7raleom6ffhv5caw3objdq6av4
A Scale-Adaptive Matching Algorithm for Underwater Acoustic and Optical Images
2020
Sensors
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Matching of underwater acoustic and optical images is a fundamental and critical problem in underwater exploration because it usually acts as the key step in many applications, such as target detection ...
In the matching process, a correlation filter is applied to determine the correlation for matching between images. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s20154226
pmid:32751338
fatcat:r6mvc5ktrbbtnkjkhtg7nbqkzq
Visual motion perception
1995
Proceedings of the National Academy of Sciences of the United States of America
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The second step involves the selective integration of retinal motion signals according to the object of origin. ...
The first step toward this goal, which consists of detecting the displacement of retinal image features, has been studied for many years in both psychophysical and neurobiological experiments. ...
This work was supported by grants from the National Institute of Mental Health and the National Eye Institute. ...
doi:10.1073/pnas.92.7.2433
pmid:7708660
pmcid:PMC42232
fatcat:alprn7j3cbe3vn6el4js2nhsfu
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