Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Bingxuan Guo"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTFast and high-precision urban scene 3D modeling is the foundational data infrastructure for the digital earth and smart cities. However, due to challenges such as water-area matching difficulties and issues like data redundancy and insufficie
Externí odkaz:
https://doaj.org/article/07b794fcb8ba4513a2d70f960f95b3de
Autor:
Fang Wang, Shuyan Song, Bingxuan Guo, Yangyang Li, Huijuan Wang, Shaowei Fu, Luyue Wang, Xiangyi Zhe, Hongtao Li, Dongmei Li, Renfu Shao, Zemin Pan
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Cervical cancer is a common gynecological malignancy. Gene microarray found that TCP11 gene was highly expressed in cervical cancer. However, the effect of TCP11 gene on the proliferation, apoptosis and migration of cervical cance
Externí odkaz:
https://doaj.org/article/a66883ef30284dd796b8c1b56f84c40e
Autor:
San Jiang, Yichen Ma, Junhuan Liu, Qingquan Li, Wanshou Jiang, Bingxuan Guo, Lelin Li, Lizhe Wang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9874-9887 (2023)
Structure from motion (SfM) has been extensively used for unmanned aerial vehicle (UAV) image orientation. Its efficiency is directly influenced by feature matching. Although image retrieval has been extensively used for match pair selection, high co
Externí odkaz:
https://doaj.org/article/20deca0e6049480180be8027f3d53612
Autor:
Haichen Long, Yangyang Li, Huijuan Wang, Bingxuan Guo, Shuyan Song, Xiangyi Zhe, Hongtao Li, Dongmei Li, Renfu Shao, Zemin Pan
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Cervical cancer is currently estimated to be the fourth most common cancer among women worldwide and the leading cause of cancer-related deaths in some of the world’s poorest countries. C/EBPβ has tumor suppressor effects becau
Externí odkaz:
https://doaj.org/article/8ed55b28695a45a49968b8e6c2661b53
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 473 (2024)
The 3D reconstruction of ancient buildings through inclined photogrammetry finds a wide range of applications in surveying, visualization and heritage conservation. Unlike indoor objects, reconstructing ancient buildings presents unique challenges, i
Externí odkaz:
https://doaj.org/article/d3e8aab9db08493c9f1e975b3d5653cc
Publikováno v:
Geo-spatial Information Science, Vol 24, Iss 3, Pp 422-437 (2021)
Image-based relocalization is a renewed interest in outdoor environments, because it is an important problem with many applications. PoseNet introduces Convolutional Neural Network (CNN) for the first time to realize the real-time camera pose solutio
Externí odkaz:
https://doaj.org/article/5632c0a145914e78ac49581ade64c193
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10583-10597 (2021)
Unmanned aerial vehicle (UAV) images have become the main remote sensing data sources for varying applications, and structure from motion (SfM) is the golden standard for resuming camera poses. Matching local feature descriptors is the prerequisite f
Externí odkaz:
https://doaj.org/article/05476d69ddf44635b1b8ae5c9b09530f
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5619 (2022)
Structure from Motion (SfM) for large-scale UAV (Unmanned Aerial Vehicle) images has been widely used in the fields of photogrammetry and computer vision. Its efficiency, however, decreases dramatically as well as with the memory occupation rising st
Externí odkaz:
https://doaj.org/article/bdce605fee7746f896b3b7293d2b644d
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4300 (2022)
The lightweight representation of 3D building models has played an increasingly important role in the comprehensive application of urban 3D models. Polygonization is a compact and lightweight representation for which a fundamental challenge is the fi
Externí odkaz:
https://doaj.org/article/bd76615582f5494aa0d0fe66cbf3c94d
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 289 (2022)
Manifold mesh, a triangular network for representing 3D objects, is widely used to reconstruct accurate 3D models of objects structure. The complexity of these objects and self-occlusion, however, can cause cameras to miss some areas, creating holes
Externí odkaz:
https://doaj.org/article/1e434a03184e499ca2e02dbf270f6495