Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Oussama Remil"'
Autor:
Abderrazak Kedadria, Yacine Benabid, Oussama Remil, Abdelkader Benaouali, Abdelghani May, Salah Ramtani
Publikováno v:
Annals of Biomedical Engineering. 51:1079-1093
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c21f1f64fad2d75a4af1969ccec523bb
https://doi.org/10.1007/s10439-023-03189-y
https://doi.org/10.1007/s10439-023-03189-y
Autor:
Haoran Xie, Oussama Remil, Mingqiang Wei, Jin Huang, Yanwen Guo, Jing Qin, Jun Wang, Honghua Chen
Publikováno v:
Computer-Aided Design. 115:122-134
Mesh texture smoothing (MTS) seeks to smooth out the detailed appearances in noise-free surfaces, while preserving the intrinsic geometric properties. However, the intricacy of mesh texture patterns commonly results in side-effects, including remnant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcff26f8d2ce0737b142d0e255c451b0
https://doi.org/10.1016/j.cad.2019.05.036
https://doi.org/10.1016/j.cad.2019.05.036
Publikováno v:
Computer-Aided Design. 115:87-97
To increase the diversity of created shapes conveniently, we describe a fully automatic synthesis framework based on the content–style analysis of an input set of 3D shapes. To fully characterize the content and style of the input set and enable 3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6bfb99b68b696e8b512a69e40f9a9d1
https://doi.org/10.1016/j.cad.2019.05.017
https://doi.org/10.1016/j.cad.2019.05.017
Publikováno v:
Computer-Aided Design. 107:64-76
This paper presents a simple yet efficient framework for finding a set of sparse correspondences between two non-rigid shapes using a tensor-based optimization technique. To make the matching consistent, we propose to use third-order potentials to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f7702c8e7e2df0d6ade927c55d2b81
https://doi.org/10.1016/j.cad.2018.10.001
https://doi.org/10.1016/j.cad.2018.10.001
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 143:57-71
3D reconstruction of a large-scale electrical substation scene (ESS) is fundamental to navigation, information inquiry, and supervisory control of 3D scenes. However, automatic reconstruction of ESS from a raw LiDAR point cloud is challenging due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d23d9dc06251f5f0c5b40ce7cdb617b6
https://doi.org/10.1016/j.isprsjprs.2018.04.024
https://doi.org/10.1016/j.isprsjprs.2018.04.024
Publikováno v:
Computer-Aided Design. 94:1-15
Automatic modeling of indoor scenes from raw point data has received considerable attention due to its wide applications in computer graphics and robotics. The raw point data, however, always suffer from incompleteness, noise and anisotropy in densit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d11e9d41af8d7f1b46b21ddaca30a69
https://doi.org/10.1016/j.cad.2017.09.001
https://doi.org/10.1016/j.cad.2017.09.001
Publikováno v:
Computer-Aided Design. 93:1-14
We present a method for automatic reconstruction of the volumetric structures of urban buildings, directly from raw LiDAR point clouds. Given the large-scale LiDAR data from a group of urban buildings, we take advantage of the “divide-and-conquer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::475b29201597356da8ca2318503f095e
https://doi.org/10.1016/j.cad.2017.07.005
https://doi.org/10.1016/j.cad.2017.07.005
Publikováno v:
Computer Graphics Forum. 36:63-72
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5c01314b6503085ca60b66cc256e2a0
https://doi.org/10.1111/cgf.13272
https://doi.org/10.1111/cgf.13272
Publikováno v:
Computer Graphics Forum. 35:269-278
Modeling of urban facades from raw LiDAR point data remains active due to its challenging nature. In this paper, we propose an automatic yet robust 3D modeling approach for urban facades with raw LiDAR point clouds. The key observation is that buildi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1414fa969111ba1fc6ad36727ae35171
https://doi.org/10.1111/cgf.13024
https://doi.org/10.1111/cgf.13024
In this paper, we propose a framework to reconstruct 3D models from raw scanned points by learning the prior knowledge of a specific class of objects. Unlike previous work that heuristically specifies particular regularities and defines parametric mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a40528ea9eddcb2db928a3f04896f7f0
http://arxiv.org/abs/1701.03230
http://arxiv.org/abs/1701.03230
