Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hongjia Qu"'
Autor:
Junhao Jia, Mingzhong Pan, Yaowei Li, Yanchao Yin, Shengmei Chen, Hongjia Qu, Xiaoxuan Chen, Bo Jiang
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5145 (2023)
Remote sensing images are very vulnerable to cloud interference during the imaging process. Cloud occlusion, especially thick cloud occlusion, significantly reduces the imaging quality of remote sensing images, which in turn affects a variety of subs
Externí odkaz:
https://doaj.org/article/5ce486287580461c9ca6177d4f71838e
Publikováno v:
Optics and Lasers in Engineering. 85:18-23
In this paper, we propose a three-dimensional integral imaging display system with a multiple recorded images using off-axially distributed image sensing. First, the depth map of the 3D objects is extracted from the off-axially recorded multi-perspec
Computational 3D reconstruction of FAR and big size objects using synthetic apeture integral imaging
Publikováno v:
ICIP
In this paper, we present a three-dimensional reconstruction of far and large size objects in synthetic aperture integral imaging system. In the proposed method, the far and large size objects are recorded by the synthetic aperture integral imaging s
Publikováno v:
Digital Holography & 3-D Imaging Meeting.
In this paper, we present a depth controlled far 3D objects reconstruction in integral imaging system. In order to reduce the reconstruction distance, a set of depth controlled elemental images are recorded by the integral imaging with a Plano concav
Publikováno v:
Imaging and Applied Optics 2015.
In this paper, we present an occlusion detection algorithm for elemental images in synthetic aperture integral imaging (SAII) system. In the proposed method, the MST-based non-local aggregation is used to detect the occlusion from the elemental image
Publikováno v:
Digital Holography & 3-D Imaging Meeting.
Generally, the occlusion information can degrades the quality of the reconstructed 3D images in integral imaging system. To remove the occlusion effects, we present a segmentation-based occlusion removal method for the partially occluded 3D reconstru
Publikováno v:
Critical Care, Vol 24, Iss 1, Pp 1-4 (2020)
Externí odkaz:
https://doaj.org/article/c332a8b710c24aa29c9c861f7e685cb7