Zobrazeno 1 - 10
of 18
pro vyhledávání: '"R. Reena Rose"'
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 4, Iss 3, Pp 773-784 (2014)
Texture descriptors have an important role in recognizing face images. However, almost all the existing local texture descriptors use nearest neighbors to encode a texture pattern around a pixel. But in face images, most of the pixels have similar ch
Externí odkaz:
https://doaj.org/article/0350350556264d63955482a94546570c
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 4, Iss 2, Pp 709-716 (2013)
Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features. To resolve this, illum
Externí odkaz:
https://doaj.org/article/b0aa6275176747a789e2f7473c3b3475
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 3, Iss 4, Pp 605-611 (2013)
Texture feature plays a predominant role in recognizing face images. However different persons can have similar texture features that may degrade the system performance. Hence in this paper, the problem of face similarity is addressed by proposing a
Externí odkaz:
https://doaj.org/article/f603c489e6814532b932fedab21da674
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 59, Iss spe2
ABSTRACT Texture is one of the chief characteristics of an image. In recent years, local texture descriptors have garnered attention among researchers in describing effective texture patterns to demarcate facial images. A feature descriptor titled Lo
Externí odkaz:
https://doaj.org/article/66151a69caa1450cb9a7b4f91f8cffa0
Autor:
A. Arjuna, R. Reena Rose
Publikováno v:
2019 International Conference on Smart Systems and Inventive Technology (ICSSIT).
Retinal diseases are the source for blindness in human eyes. These diseases are diagnosed by examining the fundus images of the retina. People who are affected by eye diseases have different types of lesions on their retina and some abnormalities in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::378acd22cdac19c8b61ef8fd3ea07442
https://doi.org/10.1109/icssit46314.2019.8987805
https://doi.org/10.1109/icssit46314.2019.8987805
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 4, Iss 3, Pp 773-784 (2014)
Texture descriptors have an important role in recognizing face images. However, almost all the existing local texture descriptors use nearest neighbors to encode a texture pattern around a pixel. But in face images, most of the pixels have similar ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f906408e98c94f9bfb8cb1f7de43227
http://ictactjournals.in/paper/IJIVP_Paper_8_773_784.pdf
http://ictactjournals.in/paper/IJIVP_Paper_8_773_784.pdf
Publikováno v:
IETE Journal of Research. 60:20-32
Texture is one of the fundamental features for describing image characteristics. Face can be seen as a composition of micro-patterns of textures. The texture analysis community has proposed a variety of descriptors for face recognition. Local binary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba81f6017082d749ec44789051372b7f
https://doi.org/10.1080/03772063.2014.890811
https://doi.org/10.1080/03772063.2014.890811
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 4, Iss 2, Pp 709-716 (2013)
Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features. To resolve this, illum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7794431aa50061765aa62181717582dc
http://ictactjournals.in/paper/V4_I2_Paper_6_709_716_online.pdf
http://ictactjournals.in/paper/V4_I2_Paper_6_709_716_online.pdf
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 3, Iss 4, Pp 605-611 (2013)
Texture feature plays a predominant role in recognizing face images. However different persons can have similar texture features that may degrade the system performance. Hence in this paper, the problem of face similarity is addressed by proposing a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e8e66c97e579ba5594670149409c9f8
https://doi.org/10.21917/ijivp.2013.0085
https://doi.org/10.21917/ijivp.2013.0085
Publikováno v:
Brazilian Archives of Biology and Technology, Volume: 59, Issue: spe2, Article number: e16161057, Published: 23 JAN 2017
Brazilian Archives of Biology and Technology v.59 n.spe2 2016
Brazilian Archives of Biology and Technology
Instituto de Tecnologia do Paraná (Tecpar)
instacron:TECPAR
Brazilian Archives of Biology and Technology, Vol 59, Iss spe2
Brazilian Archives of Biology and Technology v.59 n.spe2 2016
Brazilian Archives of Biology and Technology
Instituto de Tecnologia do Paraná (Tecpar)
instacron:TECPAR
Brazilian Archives of Biology and Technology, Vol 59, Iss spe2
Texture is one of the chief characteristics of an image. In recent years, local texture descriptors have garnered attention among researchers in describing effective texture patterns to demarcate facial images. A feature descriptor titled Local Textu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b9581ba87bf7488432c7a387b1da478
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300405&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300405&lng=en&tlng=en
