Matches in SemOpenAlex for { <https://semopenalex.org/work/W2368479166> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2368479166 abstract "A method to extract algebraic features of a face image based on the Fourier transform and Singular Value Decomposition (SVD) is introduced, then the method with the algebraic feature is proposed to recognize faces. First, face images are processed by a 2D Fourier transform that has some effective properties such as a linear transform, and is invariant against spatial translation. The amplitudes of the transform coefficients are used to represent the image in the frequency domain. Second, the amplitude representation of the face image is projected onto the two compressed orthogonal matrixes, which come from the SVD of the standard face image obtained by averaging all training samples and then the projecting coefficients are used as the algebraic feature of the face image. The robustness of this feature is proved and used for face recognition. In the matching stage, the traditional Nearest Neighbor Classifier (NNC) is improved to recognize the unknown faces by using Euclidean distance as the similarity measurement. Finally, the standard face database from Olivetti Research Laboratory (ORL) is selected to evaluate the recognition accuracy of the proposed face recognition algorithm. This database includes face images with different expressions, small occlusions, different illumination conditions and different poses, etc. The recognition accuracy is up to 100.00% by selecting appropriate values of the parameters. The effectiveness of the proposed face recognition algorithm and its insensitivity to the facial expression, illumination and posture are shown in terms of both the absolute performance indices and the comparative performance against some popular face recognition schemes such as Singular Value decomposition-based method." @default.
- W2368479166 created "2016-06-24" @default.
- W2368479166 creator A5025710876 @default.
- W2368479166 date "2004-01-01" @default.
- W2368479166 modified "2023-09-24" @default.
- W2368479166 title "Singular value decomposition-based approach for face recognition" @default.
- W2368479166 hasPublicationYear "2004" @default.
- W2368479166 type Work @default.
- W2368479166 sameAs 2368479166 @default.
- W2368479166 citedByCount "3" @default.
- W2368479166 crossrefType "journal-article" @default.
- W2368479166 hasAuthorship W2368479166A5025710876 @default.
- W2368479166 hasConcept C102519508 @default.
- W2368479166 hasConcept C104317684 @default.
- W2368479166 hasConcept C120174047 @default.
- W2368479166 hasConcept C134306372 @default.
- W2368479166 hasConcept C138885662 @default.
- W2368479166 hasConcept C144024400 @default.
- W2368479166 hasConcept C153180895 @default.
- W2368479166 hasConcept C154945302 @default.
- W2368479166 hasConcept C185592680 @default.
- W2368479166 hasConcept C22789450 @default.
- W2368479166 hasConcept C2776401178 @default.
- W2368479166 hasConcept C2779304628 @default.
- W2368479166 hasConcept C31510193 @default.
- W2368479166 hasConcept C31972630 @default.
- W2368479166 hasConcept C33923547 @default.
- W2368479166 hasConcept C36289849 @default.
- W2368479166 hasConcept C41008148 @default.
- W2368479166 hasConcept C41895202 @default.
- W2368479166 hasConcept C55493867 @default.
- W2368479166 hasConcept C63479239 @default.
- W2368479166 hasConceptScore W2368479166C102519508 @default.
- W2368479166 hasConceptScore W2368479166C104317684 @default.
- W2368479166 hasConceptScore W2368479166C120174047 @default.
- W2368479166 hasConceptScore W2368479166C134306372 @default.
- W2368479166 hasConceptScore W2368479166C138885662 @default.
- W2368479166 hasConceptScore W2368479166C144024400 @default.
- W2368479166 hasConceptScore W2368479166C153180895 @default.
- W2368479166 hasConceptScore W2368479166C154945302 @default.
- W2368479166 hasConceptScore W2368479166C185592680 @default.
- W2368479166 hasConceptScore W2368479166C22789450 @default.
- W2368479166 hasConceptScore W2368479166C2776401178 @default.
- W2368479166 hasConceptScore W2368479166C2779304628 @default.
- W2368479166 hasConceptScore W2368479166C31510193 @default.
- W2368479166 hasConceptScore W2368479166C31972630 @default.
- W2368479166 hasConceptScore W2368479166C33923547 @default.
- W2368479166 hasConceptScore W2368479166C36289849 @default.
- W2368479166 hasConceptScore W2368479166C41008148 @default.
- W2368479166 hasConceptScore W2368479166C41895202 @default.
- W2368479166 hasConceptScore W2368479166C55493867 @default.
- W2368479166 hasConceptScore W2368479166C63479239 @default.
- W2368479166 hasLocation W23684791661 @default.
- W2368479166 hasOpenAccess W2368479166 @default.
- W2368479166 hasPrimaryLocation W23684791661 @default.
- W2368479166 hasRelatedWork W1592862587 @default.
- W2368479166 hasRelatedWork W2017058210 @default.
- W2368479166 hasRelatedWork W2021995374 @default.
- W2368479166 hasRelatedWork W2031524975 @default.
- W2368479166 hasRelatedWork W2040277151 @default.
- W2368479166 hasRelatedWork W2047608160 @default.
- W2368479166 hasRelatedWork W2121903834 @default.
- W2368479166 hasRelatedWork W2164855062 @default.
- W2368479166 hasRelatedWork W2184585507 @default.
- W2368479166 hasRelatedWork W2188922220 @default.
- W2368479166 hasRelatedWork W2244696753 @default.
- W2368479166 hasRelatedWork W2356154615 @default.
- W2368479166 hasRelatedWork W2356862772 @default.
- W2368479166 hasRelatedWork W2363660938 @default.
- W2368479166 hasRelatedWork W2374569143 @default.
- W2368479166 hasRelatedWork W2380075326 @default.
- W2368479166 hasRelatedWork W2381129160 @default.
- W2368479166 hasRelatedWork W2394007377 @default.
- W2368479166 hasRelatedWork W2560761942 @default.
- W2368479166 hasRelatedWork W2614640448 @default.
- W2368479166 isParatext "false" @default.
- W2368479166 isRetracted "false" @default.
- W2368479166 magId "2368479166" @default.
- W2368479166 workType "article" @default.