Matches in SemOpenAlex for { <https://semopenalex.org/work/W2745069180> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2745069180 abstract "The authors present the results of a comparative performance study of algorithms for detecting keypoints in digital images. The Harris, good features to track (GFTT), SIFT, SURF, FAST, ORB, BRISK, and the MSER keypoint detectors were tested using two types of images: POV-Ray simulated images and photographs from the Caltech 256 image dataset. They tested the repeatability of detection of the image keypoints for the evaluated detectors for a series of images with one degree rotations from 0 to 180° (3982 images in total). In the evaluation scenario they adopted an original approach in which they did not hold back a single image to be the reference image. They conclude that the most computationally complex detector, i.e. the SIFT performs best under rotation transformation of images. However, the FAST and ORB detectors, while being less computationally demanding, perform almost equally well. Hence, they can be viable choices in image processing tasks for mobile applications." @default.
- W2745069180 created "2017-08-17" @default.
- W2745069180 creator A5011734150 @default.
- W2745069180 creator A5026415519 @default.
- W2745069180 creator A5051095136 @default.
- W2745069180 date "2017-09-08" @default.
- W2745069180 modified "2023-10-13" @default.
- W2745069180 title "Unbiased evaluation of keypoint detectors with respect to rotation invariance" @default.
- W2745069180 cites W1148193589 @default.
- W2745069180 cites W1505641881 @default.
- W2745069180 cites W1532362218 @default.
- W2745069180 cites W1617689420 @default.
- W2745069180 cites W1978289332 @default.
- W2745069180 cites W1980911747 @default.
- W2745069180 cites W2054511520 @default.
- W2745069180 cites W2067511866 @default.
- W2745069180 cites W2111308925 @default.
- W2745069180 cites W2117228865 @default.
- W2745069180 cites W2119605622 @default.
- W2745069180 cites W2124404372 @default.
- W2745069180 cites W2141584146 @default.
- W2745069180 cites W2151103935 @default.
- W2745069180 cites W2166690653 @default.
- W2745069180 cites W2177274842 @default.
- W2745069180 cites W276103820 @default.
- W2745069180 cites W2911652069 @default.
- W2745069180 cites W339566803 @default.
- W2745069180 cites W4205398292 @default.
- W2745069180 doi "https://doi.org/10.1049/iet-cvi.2016.0434" @default.
- W2745069180 hasPublicationYear "2017" @default.
- W2745069180 type Work @default.
- W2745069180 sameAs 2745069180 @default.
- W2745069180 citedByCount "4" @default.
- W2745069180 countsByYear W27450691802018 @default.
- W2745069180 countsByYear W27450691802019 @default.
- W2745069180 countsByYear W27450691802023 @default.
- W2745069180 crossrefType "journal-article" @default.
- W2745069180 hasAuthorship W2745069180A5011734150 @default.
- W2745069180 hasAuthorship W2745069180A5026415519 @default.
- W2745069180 hasAuthorship W2745069180A5051095136 @default.
- W2745069180 hasConcept C104317684 @default.
- W2745069180 hasConcept C108260229 @default.
- W2745069180 hasConcept C115961682 @default.
- W2745069180 hasConcept C153180895 @default.
- W2745069180 hasConcept C154945302 @default.
- W2745069180 hasConcept C185592680 @default.
- W2745069180 hasConcept C204241405 @default.
- W2745069180 hasConcept C31972630 @default.
- W2745069180 hasConcept C41008148 @default.
- W2745069180 hasConcept C42781572 @default.
- W2745069180 hasConcept C55493867 @default.
- W2745069180 hasConcept C61265191 @default.
- W2745069180 hasConcept C74050887 @default.
- W2745069180 hasConcept C76155785 @default.
- W2745069180 hasConcept C9417928 @default.
- W2745069180 hasConcept C94915269 @default.
- W2745069180 hasConceptScore W2745069180C104317684 @default.
- W2745069180 hasConceptScore W2745069180C108260229 @default.
- W2745069180 hasConceptScore W2745069180C115961682 @default.
- W2745069180 hasConceptScore W2745069180C153180895 @default.
- W2745069180 hasConceptScore W2745069180C154945302 @default.
- W2745069180 hasConceptScore W2745069180C185592680 @default.
- W2745069180 hasConceptScore W2745069180C204241405 @default.
- W2745069180 hasConceptScore W2745069180C31972630 @default.
- W2745069180 hasConceptScore W2745069180C41008148 @default.
- W2745069180 hasConceptScore W2745069180C42781572 @default.
- W2745069180 hasConceptScore W2745069180C55493867 @default.
- W2745069180 hasConceptScore W2745069180C61265191 @default.
- W2745069180 hasConceptScore W2745069180C74050887 @default.
- W2745069180 hasConceptScore W2745069180C76155785 @default.
- W2745069180 hasConceptScore W2745069180C9417928 @default.
- W2745069180 hasConceptScore W2745069180C94915269 @default.
- W2745069180 hasLocation W27450691801 @default.
- W2745069180 hasOpenAccess W2745069180 @default.
- W2745069180 hasPrimaryLocation W27450691801 @default.
- W2745069180 hasRelatedWork W1560016333 @default.
- W2745069180 hasRelatedWork W1566221103 @default.
- W2745069180 hasRelatedWork W1594796499 @default.
- W2745069180 hasRelatedWork W2012189965 @default.
- W2745069180 hasRelatedWork W2032899004 @default.
- W2745069180 hasRelatedWork W2060133567 @default.
- W2745069180 hasRelatedWork W2203165667 @default.
- W2745069180 hasRelatedWork W2204328893 @default.
- W2745069180 hasRelatedWork W2291826042 @default.
- W2745069180 hasRelatedWork W2402678651 @default.
- W2745069180 hasRelatedWork W2411146941 @default.
- W2745069180 hasRelatedWork W2563470743 @default.
- W2745069180 hasRelatedWork W2608847682 @default.
- W2745069180 hasRelatedWork W2619236137 @default.
- W2745069180 hasRelatedWork W2623549307 @default.
- W2745069180 hasRelatedWork W2788630934 @default.
- W2745069180 hasRelatedWork W2804404249 @default.
- W2745069180 hasRelatedWork W2902286886 @default.
- W2745069180 hasRelatedWork W2915421667 @default.
- W2745069180 hasRelatedWork W2944344498 @default.
- W2745069180 isParatext "false" @default.
- W2745069180 isRetracted "false" @default.
- W2745069180 magId "2745069180" @default.
- W2745069180 workType "article" @default.