Schmid, C.[Cordelia],
Mohr, R.[Roger], and
Bauckhage, C.[Christian],
Evaluation of Interest Point Detectors,
IJCV(37), No. 2, June 2000, pp. 151-172.
DOI Link
0008
BibRef
Earlier:
Comparing and Evaluating Interest Points,
ICCV98(230-235).
IEEE DOI
BibRef
Gil, A.[Arturo],
Martinez Mozos, O.[Oscar],
Ballesta, M.[Monica],
Reinoso, O.[Oscar],
A comparative evaluation of interest point detectors and local
descriptors for visual SLAM,
MVA(21), No. 6, October 2010, pp. 905-920.
WWW Link.
1011
BibRef
Gauglitz, S.[Steffen],
Höllerer, T.[Tobias],
Turk, M.A.[Matthew A.],
Evaluation of Interest Point Detectors and Feature Descriptors for
Visual Tracking,
IJCV(94), No. 3, September 2011, pp. 335-360.
WWW Link.
WWW Link.
1101
Dataset, Tracking. Present a dataset with ground truth for evaluation. And evaluation
of camera tracking.
BibRef
Kazmi, W.[Wajahat],
Andersen, H.J.[Hans Jřrgen],
A comparison of interest point and region detectors on structured,
range and texture images,
JVCIR(32), No. 1, 2015, pp. 156-169.
Elsevier DOI
1511
Affine invariant regions
BibRef
Rey-Otero, I.[Ives],
Delbracio, M.[Mauricio],
Is Repeatability an Unbiased Criterion for Ranking Feature Detectors?,
SIIMS(8), No. 4, 2015, pp. 2558-2580.
DOI Link
1601
BibRef
Rey-Otero, I.[Ives],
Delbracio, M.[Mauricio],
Morel, J.M.[Jean-Michel],
Comparing feature detectors: A bias in the repeatability criteria,
ICIP15(3024-3028)
IEEE DOI
1512
BibRef
Earlier: A1, A3, A2:
An analysis of scale-space sampling in SIFT,
ICIP14(4847-4851)
IEEE DOI
1502
Feature detectors; performance evaluation.
Cameras
BibRef
Ehsan, S.[Shoaib],
Clark, A.F.[Adrian F.],
Leonardis, A.[Ales],
ur Rehman, N.[Naveed],
Khaliq, A.[Ahmad],
Fasli, M.[Maria],
McDonald-Maier, K.D.[Klaus D.],
A Generic Framework for Assessing the Performance Bounds of Image
Feature Detectors,
RS(8), No. 11, 2016, pp. 928.
DOI Link
1612
BibRef
Danaci, E.G.[Emine Gul],
Ikizler-Cinbis, N.[Nazli],
Low-level features for visual attribute recognition: An evaluation,
PRL(84), No. 1, 2016, pp. 185-191.
Elsevier DOI
1612
Visual attributes
BibRef
Madeo, S.,
Bober, M.,
Fast, Compact, and Discriminative:
Evaluation of Binary Descriptors for Mobile Applications,
MultMed(19), No. 2, February 2017, pp. 221-235.
IEEE DOI
1702
feature extraction
BibRef
Duthon, P.[Pierre],
Bernardin, F.[Frédéric],
Chausse, F.[Frédéric],
Colomb, M.[Michčle],
Benchmark for the robustness of image features in rainy conditions,
MVA(29), No. 5, July 2018, pp. 915-927.
Springer DOI
1808
Eight of the most representative image features in a road environment are
selected on the basis of a literature review.
BibRef
Balntas, V.[Vassileios],
Lenc, K.[Karel],
Vedaldi, A.[Andrea],
Tuytelaars, T.[Tinne],
Matas, J.G.[Jiri G.],
Mikolajczyk, K.[Krystian],
H-Patches: A Benchmark and Evaluation of Handcrafted and Learned
Local Descriptors,
PAMI(42), No. 11, November 2020, pp. 2825-2841.
IEEE DOI
2010
BibRef
Earlier: A1, A2, A3, A6, Only:
CVPR17(3852-3861)
IEEE DOI
1711
Dataset, Local Descriptors. HPatches dataset.
Benchmark testing, Detectors, Protocols, Task analysis,
Feature extraction, Training, Image matching, Local features,
patch classification.
Feature extraction, Protocols, Size, measurement
BibRef
Liu, Y.T.[Yun-Tao],
Dou, Y.[Yong],
Qiao, P.[Peng],
Beyond top-N accuracy indicator: a comprehensive evaluation indicator
of CNN models in image classification,
IET-CV(14), No. 6, September 2020, pp. 407-414.
DOI Link
2010
Evaluation, Object Detection. Better evaluations needed.
BibRef
Tomaselli, V.[Valeria],
Plebani, E.[Emanuele],
Strano, M.[Mauro],
Pau, D.[Danilo],
Complexity and Accuracy of Hand-Crafted Detection Methods Compared to
Convolutional Neural Networks,
CIAP17(I:298-308).
Springer DOI
1711
BibRef
Schönberger, J.L.,
Hardmeier, H.,
Sattler, T.,
Pollefeys, M.,
Comparative Evaluation of Hand-Crafted and Learned Local Features,
CVPR17(6959-6968)
IEEE DOI
1711
Benchmark testing, Detectors,
Image reconstruction, Measurement, Neural, networks
BibRef
Cordes, K.[Kai],
Grundmann, L.[Lukas],
Ostermann, J.[Jörn],
Feature Evaluation with High-Resolution Images,
CAIP15(I:374-386).
Springer DOI
1511
BibRef
Chen, Y.L.[Yi-Lei],
Hsu, C.T.[Chiou-Ting],
Implicit Rank-Sparsity Decomposition:
Applications to Saliency/Co-saliency Detection,
ICPR14(2305-2310)
IEEE DOI
1412
Equations
BibRef
Figat, J.[Jan],
Kornuta, T.[Tomasz],
Kasprzak, W.[Wlodzimierz],
Performance Evaluation of Binary Descriptors of Local Features,
ICCVG14(187-194).
Springer DOI
1410
BibRef
Dzulfahmi,
Ohta, N.,
Performance Evaluation of Image Feature Detectors and Descriptors for
Outdoor-Scene Visual Navigation,
ACPR13(872-876)
IEEE DOI
1408
image matching
BibRef
Bekele, D.[Dagmawi],
Teutsch, M.[Michael],
Schuchert, T.[Tobias],
Evaluation of binary keypoint descriptors,
ICIP13(3652-3656)
IEEE DOI
1402
binary descriptors
BibRef
Zambanini, S.[Sebastian],
Kampel, M.[Martin],
Evaluation of Low-Level Image Representations for
Illumination-Insensitive Recognition of Textureless Objects,
CIAP13(I:71-80).
Springer DOI
1311
BibRef
And:
A Local Image Descriptor Robust to Illumination Changes,
SCIA13(11-21).
Springer DOI
1311
dataset with rendered images of 3D models.
Low level features for surface characteristics.
BibRef
Miksik, O.[Ondrej],
Mikolajczyk, K.[Krystian],
Evaluation of local detectors and descriptors for fast feature matching,
ICPR12(2681-2684).
WWW Link.
1302
BibRef
Heinly, J.[Jared],
Dunn, E.[Enrique],
Frahm, J.M.[Jan-Michael],
Comparative Evaluation of Binary Features,
ECCV12(II: 759-773).
Springer DOI
1210
BibRef
Lankinen, J.[Jukka],
Kangas, V.[Ville],
Kamarainen, J.K.[Joni-Kristian],
A comparison of local feature detectors and descriptors for visual
object categorization by intra-class repeatability and matching,
ICPR12(780-783).
WWW Link.
1302
BibRef
Gat, C.[Christopher],
Albu, A.B.[Alexandra Branzan],
German, D.[Daniel],
Higgs, E.[Eric],
A Comparative Evaluation of Feature Detectors on Historic Repeat
Photography,
ISVC11(II: 701-714).
Springer DOI
1109
BibRef
Huynh, D.Q.,
Saini, A.,
Liu, W.[Wei],
Evaluation of three local descriptors on low resolution images for
robot navigation,
IVCNZ09(113-118).
IEEE DOI
0911
BibRef
Stöttinger, J.[Julian],
Donner, R.[René],
Szumilas, L.[Lech],
Hanbury, A.[Allan],
Evaluation of Gradient Vector Flow for Interest Point Detection,
ISVC08(I: 338-348).
Springer DOI
0812
BibRef
Reiterer, A.,
Eiter, T.,
A Distance-Based Method for the Evaluation of Interest point Detection
Algorithms,
ICIP06(2745-2748).
IEEE DOI
0610
BibRef
Apollonio, F.I.,
Ballabeni, A.,
Gaiani, M.,
Remondino, F.,
Evaluation of feature-based methods for automated network orientation,
CloseRange14(47-54).
DOI Link
1411
evaluate some feature-based methods used to automatically
extract tie points
BibRef
Remondino, F.[Fabio],
Detectors and Descriptors for Photogrammetric Applications,
PCV06(xx-yy).
PDF File.
0609
Interest operators for aerial iamges.
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Contourlet Representations and Processing .