Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Huixuan Tang"'
Publikováno v:
Electronics. 12:163
In order to solve the problem of energy supply for underwater equipment, wireless power transmission technology is becoming a new way of underwater power transmission. It has incomparable technical advantages over traditional power supply method, and
Autor:
Aaron Schmitz, Hauke Malte Strasdat, Alexander Jobe Fix, Huixuan Tang, Qi Guo, Steven Lovegrove, Yang Lou, Wenqi Zhang
Publikováno v:
ICCP
Augmented reality overlays virtual objects on the real world. To do so, the head mounted display (HMD) needs to be calibrated to establish a mapping between 3D points in the real world with 2D pixels on display panels. This distortion is a high-dimen
Publikováno v:
CVPR
We consider the problem of two-frame depth from defocus in conditions unsuitable for existing methods yet typical of everyday photography: a handheld cellphone camera, a small aperture, a non-stationary scene and sparse surface texture. Our approach
Publikováno v:
IPSJ Transactions on Computer Vision and Applications. 1:95-104
We presented an invited talk at the MIRU-IUW workshop on correcting photometric distortions in photographs. In this paper, we describe our work on addressing one form of this distortion, namely defocus blur. Defocus blur can lead to the loss of fine-
Autor:
Hui Wei, Huixuan Tang
Publikováno v:
Journal of Computer Science and Technology. 22:330-334
In this paper the deformation invariant curve matching problem is addressed. The proposed approach exploits an image pyramid to constrain correspondence search at a finer level with those at a coarser level. In comparison to previous methods, this ap
Publikováno v:
ICCP
A convenient solution to RGB-Infrared photography is to extend the basic RGB mosaic with a fourth filter type with high transmittance in the near-infrared band. Unfortunately, applying conventional demosaicing algorithms to RGB-IR sensors is not poss
Publikováno v:
CVPR
It is often desirable to evaluate images quality with a perceptually relevant measure that does not require a reference image. Recent approaches to this problem use human provided quality scores with machine learning to learn a measure. The biggest h
Autor:
Huixuan Tang, Kiriakos N. Kutulakos
Publikováno v:
ICCP
We investigate the feasibility of recovering lens properties, scene appearance and depth from a single photo containing optical aberrations and defocus blur. Starting from the ray intersection function of a rotationally-symmetric compound lens and th
Autor:
Huixuan Tang, Kiriakos N. Kutulakos
Publikováno v:
Computer Vision – ACCV 2012 ISBN: 9783642374463
ACCV (4)
ACCV (4)
Optical aberrations in off-the-shelf photographic lenses are commonly treated as unwanted artifacts that degrade image quality. In this paper we argue that such aberrations can be useful, as they often produce point-spread functions (PSFs) that have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ced5b3bc7e551f054ebdb6d4370d790
https://doi.org/10.1007/978-3-642-37447-0_28
https://doi.org/10.1007/978-3-642-37447-0_28
Publikováno v:
CVPR
It is often desirable to evaluate an image based on its quality. For many computer vision applications, a perceptually meaningful measure is the most relevant for evaluation; however, most commonly used measure do not map well to human judgements of