Finding Correspondences Between Images using Descriptors and Graphs

Zakharov, A. A.; Tuzhilkin, Alexei; Zhiznyakov, A. L.

doi:10.1016/j.proeng.2015.12.131

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…While such techniques have been extensively used over the last decades, they suffer from high computational complexity and are not suitable for large images, which are common in remote sensing in general and planetary science in particular. An alternative is to conduct matching in a transformation space, employing techniques such as shearlet transform [28], wavelet transform [45], and radon transform [46]. However, in this case, the gain in computational efficiency is attenuated by the inability to model complex geometric deformations, which are generally present in remote sensing images.…”

Section: B Abstraction Level Used For Image Matchingmentioning

confidence: 99%

“…As a result, planetary images that map the same area at different times may be exposed to geometric and photometric differences that cannot be necessarily modeled. A systematic planetary coregistration algorithm should therefore take into account the presence of this "spatial noise," thus avoiding rigid geometric models, such as those based upon rotation-scaling-translation and affine transformations (see [37], [54], [46]).…”

Section: Limited Knowledge Of Planetary Processesmentioning

confidence: 99%

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A Systematic Solution to Multi-Instrument Coregistration of High-Resolution Planetary Images to an Orthorectified Baseline

Sidiropoulos

Müller

2018

IEEE Trans. Geosci. Remote Sensing

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We address the problem of automatically coregistering planetary images to a common baseline, introducing a novel generic technique that achieves an unprecedented robustness to different image inputs, thus making batch-mode coregistration achievable without requiring the usual parameter tweaking. We introduce a novel image matching technique, which boosts matching performance even under the most strenuous circumstances, and experimentally demonstrate validation through an extensive experimental multi-instrument setup that includes images from eight high-resolution data sets of the Mars and the Moon. The technique is further tested in a batch-mode processing, in which approximately 1.6% of all high-resolution Martian imagery is coregistered to a common baseline.

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Section: B Abstraction Level Used For Image Matchingmentioning

confidence: 99%

Section: Limited Knowledge Of Planetary Processesmentioning

confidence: 99%

A Systematic Solution to Multi-Instrument Coregistration of High-Resolution Planetary Images to an Orthorectified Baseline

Sidiropoulos

Müller

2018

IEEE Trans. Geosci. Remote Sensing

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“…It's mainly used in three-dimensional reconstruction tasks. The algorithm is compared with RANSAC [49]. Sanromà Et al.…”

Section: Group-wise Image Registrationmentioning

confidence: 99%

A Review on Registration of Medical Images Using Graph Theoretic Approaches

Akshaya

Menon

2018

IJEECS

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<p>Image registration is very essential for image analysis especially in the medical field. The registered image helps us to find a lot of things like the presence of a tumor, aneurysm, and many more. Image registration is a process of aligning two images that were captured during different conditions that makes analyzing of images possible. There are various methods in which images can be registered. This paper mainly discusses the methods that use the graph approach to register the medical images. The main focus is on rigid and non-rigid registration techniques and gives a brief description of the methods present.</p>

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Gray-Level Feature Based Approach for Correspondence Matching and Elimination of False Matches

Akshaya

Menon

2019

Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

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Finding Correspondences Between Images using Descriptors and Graphs

Cited by 5 publications

References 14 publications

A Systematic Solution to Multi-Instrument Coregistration of High-Resolution Planetary Images to an Orthorectified Baseline

A Systematic Solution to Multi-Instrument Coregistration of High-Resolution Planetary Images to an Orthorectified Baseline

A Review on Registration of Medical Images Using Graph Theoretic Approaches

Gray-Level Feature Based Approach for Correspondence Matching and Elimination of False Matches

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