Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jaesik Park"'
Autor:
Jaesik Park, Hyunmin Lee
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
IEEE Transactions on Image Processing. 25:3639-3654
This paper presents an automatic method to extract a multi-view object in a natural environment. We assume that the target object is bounded by the convex volume of interest defined by the overlapping space of camera viewing frustums. There are two k
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 39(8)
We propose a robust uncalibrated multiview photometric stereo method for high quality 3D shape reconstruction. In our method, a coarse initial 3D mesh obtained using a multiview stereo method is projected onto a 2D planar domain using a planar mesh p
Publikováno v:
CVPR
We present an efficient technique to optimize color consistency of a collection of images depicting a common scene. Our method first recovers sparse pixel correspondences in the input images and stacks them into a matrix with many missing entries. We
Publikováno v:
CVPR
We propose a novel approach that generates a highquality depth map from a set of images captured with a small viewpoint variation, namely small motion clip. As opposed to prior methods that recover scene geometry and camera motions using pre-calibrat
Publikováno v:
3DV
Single-shot structured light scanning has been actively investigated as it can recover accurate geometrical shape even on a dynamic scene. Since many single-shot approaches focus on improving depth accuracy, recovering the intrinsic properties of the
Publikováno v:
CVPR
This paper introduces an algorithm that accurately estimates depth maps using a lenslet light field camera. The proposed algorithm estimates the multi-view stereo correspondences with sub-pixel accuracy using the cost volume. The foundation for const
Publikováno v:
ICCV
We propose a method for accurate 3D shape reconstruction using uncalibrated multiview photometric stereo. A coarse mesh reconstructed using multiview stereo is first parameterized using a planar mesh parameterization technique. Subsequently, multivie
Publikováno v:
CVPR
We introduce a method to repair an image which has been stamped by an identigram or a watermark. Our method is based on the cross-channel correlation which assures the co-occurrence of image discontinuities and correlation of color distributions acro