FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2549204772> ?p ?o ?g. }

• W2549204772 endingPage "710" @default.
• W2549204772 startingPage "696" @default.
• W2549204772 abstract "Perspective cameras are the most popular imaging sensors used in computer vision. However, many application fields, including automotive, surveillance, and robotics, require the use of wide angle cameras (e.g., fisheye), which allow to acquire a larger portion of the scene using a single device at the cost of the introduction of noticeable radial distortion in the images. Affine covariant feature detectors have proved successful in a variety of computer vision applications, including object recognition, image registration, and visual search. Moreover, their robustness to a series of variabilities related to both the scene and the image acquisition process has been thoroughly studied in the literature. In this paper, we investigate their effectiveness on fisheye images providing both theoretical and experimental analyses. As theoretical outcome, we show that the inherently non-linear radial distortion can be locally approximated by linear functions with a reasonably small error. The experimental analysis builds on Mikolajczyk's benchmark to assess the robustness of three popular affine region detectors (i.e., maximally stable extremal regions, and Harris and Hessian affine region detectors), with respect to different variabilities as well as to radial distortion. To support the evaluations, we rely on the Oxford data set and introduce a novel benchmark data set comprising 50 images depicting different scene categories. Experiments are carried out on rectilinear images to which radial distortion is artificially added, and on real-world images acquired using fisheye lenses. Our analysis points out that affine region detectors can be effectively employed directly on fisheye images and that the radial distortion is locally modeled as an additional affine variability." @default.
• W2549204772 created "2016-11-30" @default.
• W2549204772 creator A5018831291 @default.
• W2549204772 creator A5042746008 @default.
• W2549204772 creator A5087180022 @default.
• W2549204772 creator A5089549062 @default.
• W2549204772 date "2017-02-01" @default.
• W2549204772 modified "2023-10-18" @default.
• W2549204772 title "Affine Covariant Features for Fisheye Distortion Local Modeling" @default.
• W2549204772 cites W1495538789 @default.
• W2549204772 cites W1676552347 @default.
• W2549204772 cites W1980911747 @default.
• W2549204772 cites W2011713758 @default.
• W2549204772 cites W2012508283 @default.
• W2549204772 cites W2016004364 @default.
• W2549204772 cites W2049577968 @default.
• W2549204772 cites W2054684275 @default.
• W2549204772 cites W2088205157 @default.
• W2549204772 cites W2100470808 @default.
• W2549204772 cites W2103569660 @default.
• W2549204772 cites W2107738794 @default.
• W2549204772 cites W2117947052 @default.
• W2549204772 cites W2120295320 @default.
• W2549204772 cites W2126680645 @default.
• W2549204772 cites W2130377595 @default.
• W2549204772 cites W2147237076 @default.
• W2549204772 cites W2151103935 @default.
• W2549204772 cites W2157653924 @default.
• W2549204772 cites W2165446656 @default.
• W2549204772 cites W2166228479 @default.
• W2549204772 cites W2170873877 @default.
• W2549204772 cites W2171619751 @default.
• W2549204772 cites W2172188317 @default.
• W2549204772 cites W2177274842 @default.
• W2549204772 cites W2214681006 @default.
• W2549204772 cites W2222512263 @default.
• W2549204772 cites W2294733371 @default.
• W2549204772 cites W3145547920 @default.
• W2549204772 cites W36923225 @default.
• W2549204772 cites W4210795069 @default.
• W2549204772 cites W4230910228 @default.
• W2549204772 cites W4237434670 @default.
• W2549204772 doi "https://doi.org/10.1109/tip.2016.2627816" @default.
• W2549204772 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27849539" @default.
• W2549204772 hasPublicationYear "2017" @default.
• W2549204772 type Work @default.
• W2549204772 sameAs 2549204772 @default.
• W2549204772 citedByCount "19" @default.
• W2549204772 countsByYear W25492047722017 @default.
• W2549204772 countsByYear W25492047722018 @default.
• W2549204772 countsByYear W25492047722019 @default.
• W2549204772 countsByYear W25492047722020 @default.
• W2549204772 countsByYear W25492047722021 @default.
• W2549204772 countsByYear W25492047722022 @default.
• W2549204772 crossrefType "journal-article" @default.
• W2549204772 hasAuthorship W2549204772A5018831291 @default.
• W2549204772 hasAuthorship W2549204772A5042746008 @default.
• W2549204772 hasAuthorship W2549204772A5087180022 @default.
• W2549204772 hasAuthorship W2549204772A5089549062 @default.
• W2549204772 hasConcept C104317684 @default.
• W2549204772 hasConcept C115961682 @default.
• W2549204772 hasConcept C126780896 @default.
• W2549204772 hasConcept C153180895 @default.
• W2549204772 hasConcept C154945302 @default.
• W2549204772 hasConcept C185592680 @default.
• W2549204772 hasConcept C194257627 @default.
• W2549204772 hasConcept C202444582 @default.
• W2549204772 hasConcept C2776151529 @default.
• W2549204772 hasConcept C2776257435 @default.
• W2549204772 hasConcept C2779989122 @default.
• W2549204772 hasConcept C31258907 @default.
• W2549204772 hasConcept C31972630 @default.
• W2549204772 hasConcept C33923547 @default.
• W2549204772 hasConcept C41008148 @default.
• W2549204772 hasConcept C55493867 @default.
• W2549204772 hasConcept C63479239 @default.
• W2549204772 hasConcept C76155785 @default.
• W2549204772 hasConcept C92757383 @default.
• W2549204772 hasConcept C94915269 @default.
• W2549204772 hasConceptScore W2549204772C104317684 @default.
• W2549204772 hasConceptScore W2549204772C115961682 @default.
• W2549204772 hasConceptScore W2549204772C126780896 @default.
• W2549204772 hasConceptScore W2549204772C153180895 @default.
• W2549204772 hasConceptScore W2549204772C154945302 @default.
• W2549204772 hasConceptScore W2549204772C185592680 @default.
• W2549204772 hasConceptScore W2549204772C194257627 @default.
• W2549204772 hasConceptScore W2549204772C202444582 @default.
• W2549204772 hasConceptScore W2549204772C2776151529 @default.
• W2549204772 hasConceptScore W2549204772C2776257435 @default.
• W2549204772 hasConceptScore W2549204772C2779989122 @default.
• W2549204772 hasConceptScore W2549204772C31258907 @default.
• W2549204772 hasConceptScore W2549204772C31972630 @default.
• W2549204772 hasConceptScore W2549204772C33923547 @default.
• W2549204772 hasConceptScore W2549204772C41008148 @default.
• W2549204772 hasConceptScore W2549204772C55493867 @default.
• W2549204772 hasConceptScore W2549204772C63479239 @default.
• W2549204772 hasConceptScore W2549204772C76155785 @default.
• W2549204772 hasConceptScore W2549204772C92757383 @default.

• next