Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kyoung Mu Lee"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 40:2374-2387
State-of-the-art video deblurring methods cannot handle blurry videos recorded in dynamic scenes since they are built under a strong assumption that the captured scenes are static. Contrary to the existing methods, we propose a new video deblurring a
Publikováno v:
ICASSP
In this paper, we estimate depth information using two defocused images from dual aperture camera. Recent advances in deep learning techniques have increased the accuracy of depth estimation. Besides, methods of using a defocused image in which an ob
Autor:
Kyoung Mu Lee, Gwangmo Song
Publikováno v:
ICIP
In this work, we propose an algorithm to estimate the depth map of a scene using defocused images. In particular, the depth map is estimated using two defocused images with different depth-of-field for the same scene. Similar to the approach of the g
Autor:
Ho Yub Jung, Kyoung Mu Lee
Publikováno v:
Mathematical Problems in Engineering, Vol 2015 (2015)
Edge weight-based segmentation methods, such as normalized cut or minimum cut, require a partition number specification for their energy formulation. The number of partitions plays an important role in the segmentation overall quality. However, findi
Publikováno v:
CVPR
Non-uniform blind deblurring for general dynamic scenes is a challenging computer vision problem as blurs arise not only from multiple object motions but also from camera shake, scene depth variation. To remove these complicated motion blurs, convent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::539ac26669e6e9ce11a52879802ed3f2
http://arxiv.org/abs/1612.02177
http://arxiv.org/abs/1612.02177
Publikováno v:
Computer Vision and Image Understanding. 117:1575-1588
In this paper, we present a new framework for three-dimensional (3D) reconstruction of multiple rigid objects from dynamic scenes. Conventional 3D reconstruction from multiple views is applicable to static scenes, in which the configuration of object
Publikováno v:
Image and Vision Computing. 26:1515-1523
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Non-negative Matrix Factorization (S-LNMF) technique. The proposed algorithm is composed of two phases; the occlusion detection phase and the se
Publikováno v:
APSIPA
In this paper, we address the problem of interactive image segmentation which segments an image based on user-supplied scribbles. For this purpose, we propose a novel framework that provides consistent performance robust to the location of input seed
Publikováno v:
Pattern Recognition. 37:145-159
In this paper, we propose a novel model-based perceptual grouping algorithm for the line features of 3-D polyhedral objects. Given a 3-D polyhedral model, perceptual grouping is performed to extract a set of 3-D line segments which are geometrically
Publikováno v:
Journal of Visual Communication and Image Representation. 14:1-21
In this paper, we propose a new 3D target recognition algorithm using a single image. Our approach is based on geometrically invariant relationships. By employing a practical CCD camera model for projective image formation, and analyzing the constrai