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Comparing Feature Detectors: A bias in the repeatability criteria, and
  how to correct it
v1v2 (latest)

Comparing Feature Detectors: A bias in the repeatability criteria, and how to correct it

International Conference on Information Photonics (ICIP), 2014
8 September 2014
Ives Rey-Otero
M. Delbracio
Jean-Michel Morel
ArXiv (abs)PDFHTML

Papers citing "Comparing Feature Detectors: A bias in the repeatability criteria, and how to correct it"

4 / 4 papers shown
Scale-Free Image Keypoints Using Differentiable Persistent Homology
Scale-Free Image Keypoints Using Differentiable Persistent Homology
Giovanni Barbarani
Francesco Vaccarino
Gabriele Trivigno
Marco Guerra
Gabriele Berton
Carlo Masone
416
2
0
03 Jun 2024
Image Feature Information Extraction for Interest Point Detection: A
  Review
Image Feature Information Extraction for Interest Point Detection: A Review
Junfeng Jing
Tian Gao
Weichuan Zhang
Yongsheng Gao
Changming Sun
409
4
0
15 Jun 2021
On the Comparison of Classic and Deep Keypoint Detector and Descriptor
  Methods
On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods
Kristijan Bartol
David Bojanić
Tomislav Pribanić
Tomislav Petković
Yago Diez Donoso
J. Salvi
207
31
0
20 Jul 2020
Keyframe-based monocular SLAM: design, survey, and future directions
Keyframe-based monocular SLAM: design, survey, and future directions
Georges Younes
Daniel C. Asmar
Elie A. Shammas
John S. Zelek
452
165
0
02 Jul 2016
1
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