drjack.world
Google Keyword Rankings for : fast keypoint matching
1
https://stackoverflow.com/questions/60918698/how-can-i-match-features-with-fast-algorithm
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https://stackoverflow.com/questions/60918698/how-can-i-match-features-with-fast-algorithm
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2
https://www.geeksforgeeks.org/feature-matching-using-orb-algorithm-in-python-opencv/
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https://www.geeksforgeeks.org/feature-matching-using-orb-algorithm-in-python-opencv/
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3
https://medium.com/data-breach/introduction-to-fast-features-from-accelerated-segment-test-4ed33dde6d65
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https://medium.com/data-breach/introduction-to-fast-features-from-accelerated-segment-test-4ed33dde6d65
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4
https://bolster.ai/blog/fast-image-matching-at-scale
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https://bolster.ai/blog/fast-image-matching-at-scale
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5
https://www.sciencedirect.com/science/article/pii/S187705091730385X
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https://www.sciencedirect.com/science/article/pii/S187705091730385X
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6
https://arxiv.org/abs/2204.07731
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https://arxiv.org/abs/2204.07731
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7
https://ui.adsabs.harvard.edu/abs/2014SPIE.9158E..0AW/abstract
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https://ui.adsabs.harvard.edu/abs/2014SPIE.9158E..0AW/abstract
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8
https://blog.francium.tech/feature-detection-and-matching-with-opencv-5fd2394a590
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https://blog.francium.tech/feature-detection-and-matching-with-opencv-5fd2394a590
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9
https://www.researchgate.net/publication/339437737_On_Fast_Point_Cloud_Matching_with_Key_Points_and_Parameter_Tuning
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https://www.researchgate.net/publication/339437737_On_Fast_Point_Cloud_Matching_with_Key_Points_and_Parameter_Tuning
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10
https://ieeexplore.ieee.org/document/5693839/
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https://ieeexplore.ieee.org/document/5693839/
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11
https://towardsdatascience.com/improving-your-image-matching-results-by-14-with-one-line-of-code-b72ae9ca2b73
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https://towardsdatascience.com/improving-your-image-matching-results-by-14-with-one-line-of-code-b72ae9ca2b73
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12
https://opencv24-python-tutorials.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_fast/py_fast.html
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https://opencv24-python-tutorials.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_fast/py_fast.html
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13
https://link.springer.com/chapter/10.1007/978-3-642-15986-2_23
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https://link.springer.com/chapter/10.1007/978-3-642-15986-2_23
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14
https://github.com/mogvision/FFD
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https://github.com/mogvision/FFD
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15
https://www.analyticsvidhya.com/blog/2021/06/feature-detection-description-and-matching-of-images-using-opencv/
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https://www.analyticsvidhya.com/blog/2021/06/feature-detection-description-and-matching-of-images-using-opencv/
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16
https://www.mathworks.com/help/vision/feature-detection-and-extraction.html
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https://www.mathworks.com/help/vision/feature-detection-and-extraction.html
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17
https://iopscience.iop.org/article/10.1088/1742-6596/1237/2/022070/pdf
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https://iopscience.iop.org/article/10.1088/1742-6596/1237/2/022070/pdf
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18
https://vincentlepetit.github.io/files/papers/comp_ozuysal_pami10.pdf
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https://vincentlepetit.github.io/files/papers/comp_ozuysal_pami10.pdf
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19
https://securityboulevard.com/2021/03/fast-image-matching-at-scale/
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https://securityboulevard.com/2021/03/fast-image-matching-at-scale/
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20
https://www.epfl.ch/labs/cvlab/wp-content/uploads/2018/08/OzuysalCLF10.pdf
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https://www.epfl.ch/labs/cvlab/wp-content/uploads/2018/08/OzuysalCLF10.pdf
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21
https://www.semanticscholar.org/paper/Features-from-Accelerated-Segment-Test-(-FAST-)-Viswanathan/cd267a4b04d835dbecf01d47fc69ed3a38c23055
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https://www.semanticscholar.org/paper/Features-from-Accelerated-Segment-Test-(-FAST-)-Viswanathan/cd267a4b04d835dbecf01d47fc69ed3a38c23055
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22
https://www.cs.ubc.ca/~lowe/papers/12mujaCRV.pdf
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https://www.cs.ubc.ca/~lowe/papers/12mujaCRV.pdf
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23
http://clausiuspress.com/conferences/ACSS/ESAC%202020/ESAC2020036.pdf
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http://clausiuspress.com/conferences/ACSS/ESAC%202020/ESAC2020036.pdf
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24
https://automaticaddison.com/image-feature-detection-description-and-matching-in-opencv/
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https://automaticaddison.com/image-feature-detection-description-and-matching-in-opencv/
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25
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2029&context=etd
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https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2029&context=etd
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26
https://d-nb.info/1071842021/34
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https://d-nb.info/1071842021/34
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27
https://www.hindawi.com/journals/sp/2021/8509164/
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https://www.hindawi.com/journals/sp/2021/8509164/
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28
http://www.gwylab.com/download/ORB_2012.pdf
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http://www.gwylab.com/download/ORB_2012.pdf
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29
https://datahacker.rs/feature-matching-methods-comparison-in-opencv/
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https://datahacker.rs/feature-matching-methods-comparison-in-opencv/
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30
http://www.miksik.co.uk/papers/miksik2012icpr.pdf
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http://www.miksik.co.uk/papers/miksik2012icpr.pdf
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31
https://courses.cs.washington.edu/courses/cse455/09wi/Lects/lect6.pdf
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https://courses.cs.washington.edu/courses/cse455/09wi/Lects/lect6.pdf
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32
https://www.tandfonline.com/doi/full/10.1080/10095020.2020.1843376
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https://www.tandfonline.com/doi/full/10.1080/10095020.2020.1843376
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33
https://journals.sagepub.com/doi/full/10.5772/62162
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https://journals.sagepub.com/doi/full/10.5772/62162
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34
https://www.scientific.net/AMR.341-342.798
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https://www.scientific.net/AMR.341-342.798
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35
https://www.regard3d.org/index.php/documentation/details/compute-matches
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https://www.regard3d.org/index.php/documentation/details/compute-matches
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36
https://margaritachli.com/papers/ICCV2011paper.pdf
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https://margaritachli.com/papers/ICCV2011paper.pdf
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37
https://www.cis.upenn.edu/~kostas/mypub.dir/tron17iccv.pdf
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https://www.cis.upenn.edu/~kostas/mypub.dir/tron17iccv.pdf
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38
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465351/
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465351/
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39
https://en.wikipedia.org/wiki/Features_from_accelerated_segment_test
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https://en.wikipedia.org/wiki/Features_from_accelerated_segment_test
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40
https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-018-0354-y
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https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-018-0354-y
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41
https://www.cscjournals.org/manuscript/Journals/IJIP/Volume3/Issue4/IJIP-51.pdf
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https://www.cscjournals.org/manuscript/Journals/IJIP/Volume3/Issue4/IJIP-51.pdf
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42
https://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/AV1011/AV1FeaturefromAcceleratedSegmentTest.pdf
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https://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/AV1011/AV1FeaturefromAcceleratedSegmentTest.pdf
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43
https://stefan.winkler.site/Publications/icip2015fm.pdf
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https://stefan.winkler.site/Publications/icip2015fm.pdf
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44
https://www.youtube.com/watch?v=Vqtf0iVUqHg
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https://www.youtube.com/watch?v=Vqtf0iVUqHg
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45
http://www.robesafe.com/personal/pablo.alcantarilla/kaze.html
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http://www.robesafe.com/personal/pablo.alcantarilla/kaze.html
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46
http://www.nlpr.ia.ac.cn/jcheng/papers/CameraReady-CasHash.pdf
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http://www.nlpr.ia.ac.cn/jcheng/papers/CameraReady-CasHash.pdf
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47
https://www.cse.unr.edu/~bebis/CS491Y/Lectures/BRISK.pptx
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https://www.cse.unr.edu/~bebis/CS491Y/Lectures/BRISK.pptx
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48
https://www.mdpi.com/2072-4292/8/1/56
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https://www.mdpi.com/2072-4292/8/1/56
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49
https://jwbian.net/Papers/GMS_CVPR17.pdf
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https://jwbian.net/Papers/GMS_CVPR17.pdf
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50
https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Images/team_lepetit/publications/calonder_pami11.pdf
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https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Images/team_lepetit/publications/calonder_pami11.pdf
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51
https://cmp.felk.cvut.cz/~matas/papers/mishkin-2015-mods-cviu.pdf
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https://cmp.felk.cvut.cz/~matas/papers/mishkin-2015-mods-cviu.pdf
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52
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2015.07.037
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https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2015.07.037
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53
https://www.folkstalk.com/tech/matching-orb-features-with-a-threshold-example/
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https://www.folkstalk.com/tech/matching-orb-features-with-a-threshold-example/
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54
https://www.cs.unc.edu/~jmf/publications/SinhaMVA07.pdf
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https://www.cs.unc.edu/~jmf/publications/SinhaMVA07.pdf
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55
https://koreascience.kr/article/CFKO201629368424723.pdf
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https://koreascience.kr/article/CFKO201629368424723.pdf
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56
https://www.atlantis-press.com/article/4674.pdf
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https://www.atlantis-press.com/article/4674.pdf
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57
https://sicara.ai/blog/2019-07-16-image-registration-deep-learning
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https://sicara.ai/blog/2019-07-16-image-registration-deep-learning
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58
http://dev.ipol.im/~morel/Dossier_MVA_2011_Cours_Transparents_Documents/2011_Cours4_Document2_Mikolajczyk_Matas_2007.pdf
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http://dev.ipol.im/~morel/Dossier_MVA_2011_Cours_Transparents_Documents/2011_Cours4_Document2_Mikolajczyk_Matas_2007.pdf
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59
https://www.linkedin.com/pulse/feature-detection-classification-algorithm-opencv-prateek-khanna
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https://www.linkedin.com/pulse/feature-detection-classification-algorithm-opencv-prateek-khanna
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60
https://openaccess.thecvf.com/content/WACV2021/papers/Suwanwimolkul_Learning_of_Low-Level_Feature_Keypoints_for_Accurate_and_Robust_Detection_WACV_2021_paper.pdf
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https://openaccess.thecvf.com/content/WACV2021/papers/Suwanwimolkul_Learning_of_Low-Level_Feature_Keypoints_for_Accurate_and_Robust_Detection_WACV_2021_paper.pdf
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61
https://repository.hkust.edu.hk/ir/Record/1783.1-86075
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https://repository.hkust.edu.hk/ir/Record/1783.1-86075
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62
http://article.nadiapub.com/IJSIP/vol8_no5/12.pdf
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http://article.nadiapub.com/IJSIP/vol8_no5/12.pdf
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63
https://www.aimsciences.org/article/doi/10.3934/mfc.2020021
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https://www.aimsciences.org/article/doi/10.3934/mfc.2020021
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64
https://www.academia.edu/22544840/Evaluation_of_local_detectors_and_descriptors_for_fast_feature_matching
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https://www.academia.edu/22544840/Evaluation_of_local_detectors_and_descriptors_for_fast_feature_matching
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65
https://go.gale.com/ps/i.do?id=GALE%7CA458688248&sid=googleScholar&v=2.1&it=r&linkaccess=abs&issn=17298806&p=AONE&sw=w
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https://go.gale.com/ps/i.do?id=GALE%7CA458688248&sid=googleScholar&v=2.1&it=r&linkaccess=abs&issn=17298806&p=AONE&sw=w
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66
https://www.dominodatalab.com/blog/feature-extraction-and-image-classification-using-deep-neural-networks
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https://www.dominodatalab.com/blog/feature-extraction-and-image-classification-using-deep-neural-networks
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67
https://www.gnebehay.com/publications/wacv_2014/wacv_2014.pdf
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https://www.gnebehay.com/publications/wacv_2014/wacv_2014.pdf
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68
https://aip.scitation.org/doi/10.1063/1.5033645
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https://aip.scitation.org/doi/10.1063/1.5033645
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69
https://fuqiang.me/publication/journalfastorbslam/
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https://fuqiang.me/publication/journalfastorbslam/
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70
https://mdpi-res.com/d_attachment/remotesensing/remotesensing-13-01302/article_deploy/remotesensing-13-01302-v3.pdf?version=1617937965
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https://mdpi-res.com/d_attachment/remotesensing/remotesensing-13-01302/article_deploy/remotesensing-13-01302-v3.pdf?version=1617937965
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71
https://www.diva-portal.org/smash/get/diva2:1442561/FULLTEXT01.pdf
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https://www.diva-portal.org/smash/get/diva2:1442561/FULLTEXT01.pdf
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72
http://www.ce.unipr.it/~rizzini/papers/kallasi16ral.pdf
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http://www.ce.unipr.it/~rizzini/papers/kallasi16ral.pdf
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73
https://valueml.com/brief-and-fast-feature-extraction-python/
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https://valueml.com/brief-and-fast-feature-extraction-python/
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74
http://journal.bit.edu.cn/jbit/en/article/doi/10.15918/j.jbit1004-0579.201625.0416
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http://journal.bit.edu.cn/jbit/en/article/doi/10.15918/j.jbit1004-0579.201625.0416
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75
https://datascience.stackexchange.com/questions/13596/what-techniques-to-use-for-image-matching
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https://datascience.stackexchange.com/questions/13596/what-techniques-to-use-for-image-matching
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76
https://h2t.anthropomatik.kit.edu/pdf/Azad2009.pdf
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https://h2t.anthropomatik.kit.edu/pdf/Azad2009.pdf
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77
https://www.frontiersin.org/articles/10.3389/frsip.2022.906304/full
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https://www.frontiersin.org/articles/10.3389/frsip.2022.906304/full
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78
https://www.grdjournals.com/uploads/article/GRDJE/V02/I04/0013/GRDJEV02I040013.pdf
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https://www.grdjournals.com/uploads/article/GRDJE/V02/I04/0013/GRDJEV02I040013.pdf
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79
https://www.tu-ilmenau.de/fileadmin/Bereiche/IA/neurob/Publikationen/conferences_int/2015/Schmiedel-IROS-2015.pdf
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https://www.tu-ilmenau.de/fileadmin/Bereiche/IA/neurob/Publikationen/conferences_int/2015/Schmiedel-IROS-2015.pdf
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80
https://www.cs.utexas.edu/~grauman/courses/fall2009/papers/local_features_synthesis_draft.pdf
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https://www.cs.utexas.edu/~grauman/courses/fall2009/papers/local_features_synthesis_draft.pdf
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81
https://vision.cornell.edu/se3/wp-content/uploads/2016/08/learning-detect-match.pdf
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https://vision.cornell.edu/se3/wp-content/uploads/2016/08/learning-detect-match.pdf
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82
https://www.cc.gatech.edu/classes/AY2016/cs4476_fall/results/proj2/html/agudimella3/index.html
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https://www.cc.gatech.edu/classes/AY2016/cs4476_fall/results/proj2/html/agudimella3/index.html
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83
https://www.robots.ox.ac.uk/~vgg/publications/papers/philbin07.pdf
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https://www.robots.ox.ac.uk/~vgg/publications/papers/philbin07.pdf
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84
http://imagine.enpc.fr/~monasse/Stereo/Projects/TolaFuaLepetit08.pdf
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http://imagine.enpc.fr/~monasse/Stereo/Projects/TolaFuaLepetit08.pdf
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85
https://hal.archives-ouvertes.fr/hal-01461562/document
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https://hal.archives-ouvertes.fr/hal-01461562/document
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86
http://hebergement.u-psud.fr/emi/pdfs/NguyenICPR16.pdf
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http://hebergement.u-psud.fr/emi/pdfs/NguyenICPR16.pdf
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87
https://www.microimages.com/documentation/TechGuides/82KeypointMatching.pdf
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https://www.microimages.com/documentation/TechGuides/82KeypointMatching.pdf
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88
https://dergipark.org.tr/tr/download/article-file/433736
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https://dergipark.org.tr/tr/download/article-file/433736
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89
https://agmanic.com/object-detection-in-30-lines-of-python/
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https://agmanic.com/object-detection-in-30-lines-of-python/
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90
http://amp.houstonpress.com/world-news/02bj5CdjVmcpRWZj5WZpN2cuc3d39yL6MHc0/science/article/abs/pii/S0924271622002830
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http://amp.houstonpress.com/world-news/02bj5CdjVmcpRWZj5WZpN2cuc3d39yL6MHc0/science/article/abs/pii/S0924271622002830
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91
https://computer-vision-talks.com/2011-01-04-comparison-of-the-opencv-feature-detection-algorithms/
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https://computer-vision-talks.com/2011-01-04-comparison-of-the-opencv-feature-detection-algorithms/
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92
https://ai.stanford.edu/~syyeung/cvweb/tutorial2.html
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https://ai.stanford.edu/~syyeung/cvweb/tutorial2.html
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93
https://www.emgu.com/wiki/index.php/FAST_feature_detector_in_CSharp
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