Matches in SemOpenAlex for { <https://semopenalex.org/work/W2779144813> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2779144813 endingPage "511" @default.
- W2779144813 startingPage "501" @default.
- W2779144813 abstract "With the increase of distance and the influence of environmental factors, such as illumination and haze, the face recognition accuracy is significantly lower than that of indoor close-up images. In order to solve this problem, an effective face image enhancement method is proposed in this paper. This algorithm is a nonlinear transformation which combines gamma and logarithm transformation. Therefore, it is called: G-log. The G-Log algorithm can perform the following functions: (1) eliminate the influence of illumination; (2) increase image contrast and equalize histogram; (3) restore the high-frequency components and detailed information; (4) improve visual effect; (5) enhance recognition accuracy. Given a probe image, the procedure of face alignment, enhancement and matching is executed against all gallery images. For comparing the effects of different enhancement algorithms, all probe images are processed by different enhancement methods and identical face alignment, recognition modules. Experiment results show that G-Log method achieves the best effect both in matching accuracy and visual effect. Long-distance uncontrolled environment face recognition accuracy has been greatly improved, up to 98%, 98%, 95% for 60-, 100-, 150-m images after processed by G-Log from original 95%, 89%, 70%." @default.
- W2779144813 created "2018-01-05" @default.
- W2779144813 creator A5001816765 @default.
- W2779144813 creator A5004231942 @default.
- W2779144813 creator A5022416901 @default.
- W2779144813 creator A5034965536 @default.
- W2779144813 creator A5084885912 @default.
- W2779144813 date "2017-01-01" @default.
- W2779144813 modified "2023-10-14" @default.
- W2779144813 title "Long-Distance/Environment Face Image Enhancement Method for Recognition" @default.
- W2779144813 cites W1507183855 @default.
- W2779144813 cites W1546200464 @default.
- W2779144813 cites W1554654217 @default.
- W2779144813 cites W1952746151 @default.
- W2779144813 cites W2166694921 @default.
- W2779144813 cites W2293682279 @default.
- W2779144813 cites W2519985940 @default.
- W2779144813 cites W2523363499 @default.
- W2779144813 cites W2613101547 @default.
- W2779144813 cites W4214695428 @default.
- W2779144813 doi "https://doi.org/10.1007/978-3-319-71607-7_44" @default.
- W2779144813 hasPublicationYear "2017" @default.
- W2779144813 type Work @default.
- W2779144813 sameAs 2779144813 @default.
- W2779144813 citedByCount "2" @default.
- W2779144813 countsByYear W27791448132018 @default.
- W2779144813 countsByYear W27791448132023 @default.
- W2779144813 crossrefType "book-chapter" @default.
- W2779144813 hasAuthorship W2779144813A5001816765 @default.
- W2779144813 hasAuthorship W2779144813A5004231942 @default.
- W2779144813 hasAuthorship W2779144813A5022416901 @default.
- W2779144813 hasAuthorship W2779144813A5034965536 @default.
- W2779144813 hasAuthorship W2779144813A5084885912 @default.
- W2779144813 hasConcept C115961682 @default.
- W2779144813 hasConcept C144024400 @default.
- W2779144813 hasConcept C153180895 @default.
- W2779144813 hasConcept C154945302 @default.
- W2779144813 hasConcept C2779304628 @default.
- W2779144813 hasConcept C31510193 @default.
- W2779144813 hasConcept C31972630 @default.
- W2779144813 hasConcept C36289849 @default.
- W2779144813 hasConcept C41008148 @default.
- W2779144813 hasConceptScore W2779144813C115961682 @default.
- W2779144813 hasConceptScore W2779144813C144024400 @default.
- W2779144813 hasConceptScore W2779144813C153180895 @default.
- W2779144813 hasConceptScore W2779144813C154945302 @default.
- W2779144813 hasConceptScore W2779144813C2779304628 @default.
- W2779144813 hasConceptScore W2779144813C31510193 @default.
- W2779144813 hasConceptScore W2779144813C31972630 @default.
- W2779144813 hasConceptScore W2779144813C36289849 @default.
- W2779144813 hasConceptScore W2779144813C41008148 @default.
- W2779144813 hasLocation W27791448131 @default.
- W2779144813 hasOpenAccess W2779144813 @default.
- W2779144813 hasPrimaryLocation W27791448131 @default.
- W2779144813 hasRelatedWork W1548715306 @default.
- W2779144813 hasRelatedWork W1560697087 @default.
- W2779144813 hasRelatedWork W1989039360 @default.
- W2779144813 hasRelatedWork W2060029454 @default.
- W2779144813 hasRelatedWork W2100085003 @default.
- W2779144813 hasRelatedWork W2136485282 @default.
- W2779144813 hasRelatedWork W2146295394 @default.
- W2779144813 hasRelatedWork W2372194912 @default.
- W2779144813 hasRelatedWork W2545171730 @default.
- W2779144813 hasRelatedWork W2908959303 @default.
- W2779144813 isParatext "false" @default.
- W2779144813 isRetracted "false" @default.
- W2779144813 magId "2779144813" @default.
- W2779144813 workType "book-chapter" @default.