Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Zouhour Ben Azouz"'
Publikováno v:
Multimedia Tools and Applications. 78:3723-3745
In the last decade, supervoxels have become a useful mid-level representation of volumetric medical images such as MRIs and CT scans. Several methods were suggested to produce uniform supervoxels, yet little has been done to generate content-sensitiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3a4f1b5cd260c7a3be90edb38d0abfc
https://doi.org/10.1007/s11042-017-5563-3
https://doi.org/10.1007/s11042-017-5563-3
Publikováno v:
International Journal of Shape Modeling. 13:139-157
We present an approach to find dense point-to-point correspondences between two deformed surfaces corresponding to different postures of the same non-rigid object in a fully automatic way. The approach requires no prior knowledge about the shapes bei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c410ffa6a2790d4fc0fdbd466239945e
https://doi.org/10.1142/s0218654307000981
https://doi.org/10.1142/s0218654307000981
Publikováno v:
IVCNZ
In this paper, we consider the problem of segmenting volumetric medical images. Our non-supervised approach uses a tetrahedral mesh representation of volumetric data. The segmentation is formulated as a non-linear optimization of an energy function d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab2ba4eeb88c7ad716e1cf09e64744c
https://doi.org/10.1109/ivcnz.2015.7761572
https://doi.org/10.1109/ivcnz.2015.7761572
Publikováno v:
IVCNZ
Active Appearance Models (AAM), have been widely used for the segmentation of anatomical structures in 3D medical images. Building the AAM usually requires the manual segmentation of a training set. In this paper, we propose to reduce this manual seg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fa711d90b18f104393bc252716b62ed
https://doi.org/10.1109/ivcnz.2015.7761515
https://doi.org/10.1109/ivcnz.2015.7761515
Publikováno v:
The Visual Computer. 22:302-314
Characterizing the variations of the human body shape is fundamentally important in many applications ranging from animation to product design. 3D scanning technology makes it possible to digitize the complete surfaces of a large number of human bodi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e12bed10996b90a0ac6f3275d0f0d25
https://doi.org/10.1007/s00371-006-0006-6
https://doi.org/10.1007/s00371-006-0006-6
Autor:
Amal Amami, Zouhour Ben Azouz
Publikováno v:
SPIE Proceedings.
Automatic segmentation and 3D modeling of the knee joint from MR images, is a challenging task. Most of the existing techniques require the tedious manual segmentation of a training set of MRIs. We present an approach that necessitates the manual seg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578fbed39ceeb66cc6f49104e2ee36a9
https://doi.org/10.1117/12.2050908
https://doi.org/10.1117/12.2050908
Publikováno v:
CVPR
We propose a posture invariant surface descriptor for triangular meshes. Using intrinsic geometry, the surface is first transformed into a representation that is independent of the posture. Spin image is then adapted to derive a descriptor for the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a297f39d38c577752f41f1ecfe1bb818
https://nrc-publications.canada.ca/eng/view/object/?id=34062eb9-2100-42c1-8171-a5fe6b805d25
https://nrc-publications.canada.ca/eng/view/object/?id=34062eb9-2100-42c1-8171-a5fe6b805d25
Publikováno v:
CRV
We present an algorithm to predict landmarks on 3D human scans in varying poses. Our method is based on learning bending-invariant landmark properties. We also learn the spatial relationships between pairs of landmarks using canonical forms. The info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c6d18cd19eb47568727d8b2b73b0e37
https://doi.org/10.1109/crv.2010.25
https://doi.org/10.1109/crv.2010.25
Publikováno v:
3DPVT
We present an algorithm for automatic locating of anthropometric landmarks on 3D human scans. Our method is based on learning landmark characteristics and the spatial relationships between them from a set of human scans where the landmarks are identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::017f9bf27c5cd3a496ace1ad7ab1f917
https://doi.org/10.1109/3dpvt.2006.34
https://doi.org/10.1109/3dpvt.2006.34
Publikováno v:
3DIM
Characterizing the variations of the human body shape is fundamentally important to many applications ranging from animation to product design. 3D scanning technology makes it possible to digitize the complete surfaces of a large number of human bodi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974a30537277d9c7da9d938678292796
https://doi.org/10.1109/3dim.2005.38
https://doi.org/10.1109/3dim.2005.38