Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Zemcik, Pavel"'
Publikováno v:
In Computer Vision and Image Understanding July 2024 244
Publikováno v:
In Journal of Visual Communication and Image Representation June 2024 102
Light field data records the amount of light at multiple points in space, captured e.g. by an array of cameras or by a light-field camera that uses microlenses. Since the storage and transmission requirements for such data are tremendous, compression
Externí odkaz:
http://arxiv.org/abs/1905.07432
Publikováno v:
In Computers and Geosciences August 2022 165
Discrete wavelet transform of finite-length signals must necessarily handle the signal boundaries. The state-of-the-art approaches treat such boundaries in a complicated and inflexible way, using special prolog or epilog phases. This holds true in pa
Externí odkaz:
http://arxiv.org/abs/1709.08460
The discrete wavelet transform can be found at the heart of many image-processing algorithms. Until now, the transform on general-purpose processors (CPUs) was mostly computed using a separable lifting scheme. As the lifting scheme consists of a smal
Externí odkaz:
http://arxiv.org/abs/1708.07853
The two-dimensional discrete wavelet transform has a huge number of applications in image-processing techniques. Until now, several papers compared the performance of such transform on graphics processing units (GPUs). However, all of them only dealt
Externí odkaz:
http://arxiv.org/abs/1705.08266
The 2-D discrete wavelet transform (DWT) can be found in the heart of many image-processing algorithms. Until recently, several studies have compared the performance of such transform on various shared-memory parallel architectures, especially on gra
Externí odkaz:
http://arxiv.org/abs/1704.08657
Autor:
Sochor, Jakub, Juránek, Roman, Špaňhel, Jakub, Maršík, Lukáš, Široký, Adam, Herout, Adam, Zemčík, Pavel
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems 2018
In this paper, we focus on traffic camera calibration and a visual speed measurement from a single monocular camera, which is an important task of visual traffic surveillance. Existing methods addressing this problem are difficult to compare due to a
Externí odkaz:
http://arxiv.org/abs/1702.06441
This work is concerned with camera pose estimation from correspondences of 3D/2D lines, i. e. with the Perspective-n-Line (PnL) problem. We focus on large line sets, which can be efficiently solved by methods using linear formulation of PnL. We propo
Externí odkaz:
http://arxiv.org/abs/1608.06891