Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dirk Schnieders"'
Autor:
Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders
Publikováno v:
Computers & Industrial Engineering. 168:108140
This paper addresses the problem of mirror surface reconstruction, and proposes a solution based on observing the reflections of a moving reference plane on the mirror surface. Unlike previous approaches which require tedious calibration, our method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f44392798687346a46f5f4b1ae3aaca
http://arxiv.org/abs/2101.09392
http://arxiv.org/abs/2101.09392
Autor:
Dirk Schnieders, Kwan-Yee K. Wong
Publikováno v:
Computer Vision and Image Understanding. 117:1536-1547
This paper introduces a novel method for recovering light directions and camera parameters using a single sphere. Traditional methods for estimating light directions using spheres either assume both the radius and center of the sphere being known pre
Publikováno v:
CVPR
This paper addresses the problem of mirror surface reconstruction, and a solution based on observing the reflections of a moving reference plane on the mirror surface is proposed. Unlike previous approaches which require tedious work to calibrate the
Publikováno v:
CVPR
In this paper, we present a novel interactive image segmentation technique that automatically learns segmentation parameters tailored for each and every image. Unlike existing work, our method does not require any offline parameter tuning or training
Publikováno v:
Computer Vision – ECCV 2012. Workshops and Demonstrations ISBN: 9783642338847
ECCV Workshops (3)
ECCV Workshops (3)
The mean shift algorithm is a widely used non-parametric clustering algorithm. It has been extended to cluster a mixture of linear subspaces for solving problems in computer vision such as multi-body motion segmentation, etc. Existing methods only wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::396683bda23b8fd583c4115fae0cf3bb
https://doi.org/10.1007/978-3-642-33885-4_22
https://doi.org/10.1007/978-3-642-33885-4_22
Publikováno v:
ICIP
This paper introduces a novel method for 3D reconstruction from spherical mirrors in a single view. Traditional reconstruction algorithms either assume both intrinsic and extrinsic parameters of the cameras being known precisely and rely on multiple
Publikováno v:
CVPR
This paper introduces a novel method for reconstructing human eyes and visual display from reflections on the cornea. This problem is difficult because the camera is not directly facing the display, but instead captures the eyes of a person in front
Publikováno v:
Computer Vision – ACCV 2009 ISBN: 9783642122965
ACCV (3)
ACCV (3)
This paper studies the problem of light estimation using a specular sphere Most existing work on light estimation assumes distant point light sources, while this work considers an area light source which is estimated in 3D space by reconstructing its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee977841c36d0f9ff603849233c90a3c
https://doi.org/10.1007/978-3-642-12297-2_10
https://doi.org/10.1007/978-3-642-12297-2_10
Publikováno v:
BMVC
This paper deals with the problems of scene illumination estimation and shape recovery from an image sequence of a smooth textureless object. A novel method that exploits the surface points estimated from the silhouettes for recovering the scene illu