Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Qingan Yan"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 29:1845-1859
Restoring high-fidelity textures for 3D reconstructed models are an increasing demand in AR/VR, cultural heritage protection, entertainment, and other relevant fields. Due to geometric errors and camera pose drifting, existing texture mapping algorit
Publikováno v:
Computers & Graphics. 97:268-278
In this paper, we propose a Multi-View Stereo (MVS) network which can perform efficient high-resolution depth estimation with low memory consumption. Classical learning-based MVS approaches typically construct 3D cost volumes to regress depth informa
Publikováno v:
IEEE transactions on visualization and computer graphics.
Point cloud shape completion plays a central role in diverse 3D vision and robotics applications. Early methods used to generate global shapes without local detail refinement. Current methods tend to leverage local features to preserve the observed g
Autor:
Chengjiang Long, Qingan Yan, Gang Fu, Chunxia Xiao, Ling Zhang, Xinyun Fan, Wenjun Wu, Zipei Chen
Publikováno v:
The Visual Computer. 36:2175-2188
Shadow removal is a challenging problem due to its sensitivity to lighting and material conditions. In this paper, we propose a shading-aware shadow processing algorithm, which can automatically detect and remove complex shadows from a single color i
Publikováno v:
The Visual Computer. 36:2215-2226
This paper proposes a novel approach for robust plane matching and real-time RGB-D fusion based on the representation of plane parameter space. In contrast to previous planar-based SLAM algorithms estimating correspondences for each plane-pair indepe
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197680
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2575722520ac222e98c2c88634dd74fa
https://doi.org/10.1007/978-3-031-19769-7_21
https://doi.org/10.1007/978-3-031-19769-7_21
Publikováno v:
Computer Graphics Forum. 38:663-674
Publikováno v:
Computer Graphics Forum. 38:335-346
Publikováno v:
The Visual Computer. 35:797-809
In this paper, we explore a new way to accelerate and densify unstructured multi-view stereo (MVS). While many unstructured MVS algorithms have been proposed, we discover that the image-guided resizing can easily and significantly benefit their 3D re
Publikováno v:
The Visual Computer. 35:1091-1104
Shadow removal is a fundamental and challenging problem in image processing field. Current approaches can only process shadows with simple scenes. For complex texture and illumination, the performance is less impressive. In this paper, we propose a n