Zobrazeno 1 - 10
of 78
pro vyhledávání: '"J.S. Stahl"'
Autor:
Song Wang, J.S. Stahl
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 30:395-411
Many natural and man-made structures have a boundary that shows a certain level of bilateral symmetry, a property that plays an important role in both human and computer vision. In this paper, we present a new grouping method for detecting closed bou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdc8da4d85120a033cb0b73d6f85021b
https://doi.org/10.1109/tpami.2007.1186
https://doi.org/10.1109/tpami.2007.1186
Autor:
Song Wang, J.S. Stahl
Publikováno v:
IEEE Transactions on Image Processing. 16:2590-2606
This paper introduces a new edge-grouping method to detect perceptually salient structures in noisy images. Specifically, we define a new grouping cost function in a ratio form, where the numerator measures the boundary proximity of the resulting str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bb17e6247786c18eae341a498087d39
https://doi.org/10.1109/tip.2007.904463
https://doi.org/10.1109/tip.2007.904463
Publikováno v:
International Journal of Computer Vision. 71:337-359
As an important geometric property of many structures or structural components, convexity plays an important role in computer vision and image understanding. In this paper, we describe a general approach that can force various edge-grouping algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94ef12bec831aae176b381ba9308d41
https://doi.org/10.1007/s11263-006-8427-2
https://doi.org/10.1007/s11263-006-8427-2
Akademický článek
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Publikováno v:
CIBIM
Image mosaicking technology, as an image processing technology that can aggregate the information from a sequence of images, has been used to process large size images. In this paper, we are trying to apply the mosaicking technology to nonideal iris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::116f7c29908b9ea6fcda12318a113ea8
https://doi.org/10.1109/cibim.2014.7015455
https://doi.org/10.1109/cibim.2014.7015455
Publikováno v:
CIBIM
Conventional iris recognition using a full frontal iris image has reached a very high accuracy rate. In this paper, we focus on processing off-angle iris images. Previous research has shown that it is possible to correct off-angle iris images, but kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e8ebf8d923aae518d05a4675ba9194c
https://doi.org/10.1109/cibim.2014.7015454
https://doi.org/10.1109/cibim.2014.7015454
Autor:
J.S. Stahl
There are numerous uses for technologies that sense and measure the motion of the eyes. Four of these technologies are in common usage today: electrooculography, infrared reflectance oculography, video oculography, and magnetic search coil oculograph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb90f747480d642f6e2ec2effdbc991b
https://doi.org/10.1016/b978-0-12-385157-4.00127-5
https://doi.org/10.1016/b978-0-12-385157-4.00127-5
Publikováno v:
CVPR Workshops
Edge grouping methods aim at detecting the complete boundaries of salient structures in noisy images. In this paper, we develop a new edge grouping method that exhibits several useful properties. First, it combines both boundary and region informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80dc83f07acce4a377cce5957161329d
https://doi.org/10.1109/cvprw.2008.4562978
https://doi.org/10.1109/cvprw.2008.4562978
Autor:
Song Wang, J.S. Stahl
Publikováno v:
CVPR (1)
Many natural and man-made structures have a boundary that shows certain level of bilateral symmetry, a property that has been used to solve many computer-vision tasks. In this paper, we present a new grouping method for detecting closed boundaries wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad370f9f5d7c3effa5721ac03f3f6287
https://doi.org/10.1109/cvpr.2006.127
https://doi.org/10.1109/cvpr.2006.127