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Publikováno v:
2020 IEEE ANDESCON.
In this work, we present a new method for estimating the surface area of wavy edged single leaves, through obtaining triangular meshes from depth images. First, a set of Pelargonium Hortorum leaves are imaged (one by one) using a stereo camera for ob
Autor:
Qilian Liang, Na Wu
Publikováno v:
IEEE Access, Vol 5, Pp 22004-22012 (2017)
Because of enormous amount of images and videos to be transmitted in 5G, it is quite desirable to do aggressive downsampling in the transmission side. As a consequence, the co-prime-interpolated compressive sensing approach, which could recover the d
Publikováno v:
SIBGRAPI
This paper presents a new technique to solve the single image super resolution reconstruction problem based on multiple extreme learning machine regressors, called here MELM. The MELM employs a feature space of low resolution images, divided in subsp
Autor:
Mattia Rossi, Pascal Frossard
Publikováno v:
MMSP
Light field cameras can capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post capture refocus, to depth estimation and image-based renderin
Autor:
Katsumi Konishi, Takeshi Aiyoshizawa, Toshihiro Furukawa, Ryouhei Sasaki, Kazunori Uruma, Tomohiro Takahashi
Publikováno v:
2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
This paper deals with the problem of reconstructing a high-resolution digital image from a single low-resolution digital image and proposes a singular values estimation approach to the super-resolution. The proposed method estimates singular values i
Object representation for fast trajectory collision testing by means of 2-D algebraic conic sections
Publikováno v:
nDS
In recent years average life expectancy in developed countries has increased, hence the amount of people which depend on a wheeled walking frame and in addition are visually handicapped has grown. The independent mobility of this people is often limi
Publikováno v:
CCTA
We address the problem of 3D image registration without pre-registration based on features extracted from point clouds. 3D image registration is currently receiving a great deal of attention as we can get 3D image data easier than before for developi
Publikováno v:
CVPR
Thin structures such as fence, grass and vessels are common in photography and scientific imaging. They exhibit complex 3D structures with sharp depth variations/discontinuities and mutual occlusions. In this paper, we develop a method to estimate th
Publikováno v:
CVPR
Edge detection had made significant progress with the help of deep Convolutional Networks (ConvNet). ConvNet based edge detectors approached human level performance on standard benchmarks. We provide a systematical study of these detector outputs, an
Autor:
Jae-Young Sim, Byeong-Ju Han
Publikováno v:
CVPR
The images taken through glass often capture a target transmitted scene as well as undesired reflected scenes. In this paper, we propose a low-rank matrix completion algorithm to remove reflection artifacts automatically from multiple glass images ta