46 research outputs found
Farma, kde se zelenině daří bez dotací
Ekofarmu Ředhošť najdete na pomezí Ústeckého a Středočeského kraje, v mírně zvlněné krajině mezi Libochovicemi a Slaným. I bez dotací je malá rodinná farma konkurenceschopná. Produkuje zeleninu, neprodává do obchodních řetězců, a přesto hospodaří bez dotací. Tady se projevuje fenomén „bio“. Stále více Čechů věří značce, která pro ně zaručuje stabilní úroveň kvality a také potraviny bez chemie. A jsou ochotni si za ni připlatit
The World of Fast Moving Objects
The notion of a Fast Moving Object (FMO), i.e. an object that moves over a
distance exceeding its size within the exposure time, is introduced. FMOs may,
and typically do, rotate with high angular speed. FMOs are very common in
sports videos, but are not rare elsewhere. In a single frame, such objects are
often barely visible and appear as semi-transparent streaks.
A method for the detection and tracking of FMOs is proposed. The method
consists of three distinct algorithms, which form an efficient localization
pipeline that operates successfully in a broad range of conditions. We show
that it is possible to recover the appearance of the object and its axis of
rotation, despite its blurred appearance. The proposed method is evaluated on a
new annotated dataset. The results show that existing trackers are inadequate
for the problem of FMO localization and a new approach is required. Two
applications of localization, temporal super-resolution and highlighting, are
presented
Nestandardní úlohy v odstranění rozmazání obrazu
Název: Nestandardní úlohy v odstranění rozmazání obrazu Autor: Jan Kotera Pracoviště: Ústav teorie informace a automatizace Akademie věd České republiky Vedoucí: Doc. Ing. Filip Šroubek, Ph.D., DSc., Ústav teorie informace a automati- zace Akademie věd České republiky Abstract: Odstranění rozmazání obrazu je jednou ze standardních úloh zpracování obrazu. Není-li znám přesný způsob rozmazání a je třeba ho odhadnout z rozmazaného obrázku, nazývá se takové odstranění rozmazání slepé a jedná se o těžší úlohu. Tato práce se zabývá dvěma problémy, které se objevují ve slepém odstranění rozmazání. V první části práce uvažujeme obvyklý konvoluční model rozmazání obrazu a navrhu- jeme způsob, jak zvýšit odolnost metody proti jevům, které tento model porušují, jako jsou například přepaly obrazu. Takové jevy způsobují velikou nepřesnost odhadu roz- mazání a následně špatnou kvalitu výsledného obrazu. Navržený přístup je založen na použití velmi flexibilní ARD distribuce pro chybu konvolučního modelu a metody variačního Bayese pro odhad rozmazání, díky čemuž je natolik obecný, že dokáže au- tomaticky identifikovat oblasti obrazu, které konvoluční model porušují, aniž by bylo nutné předvídat konkrétní příčiny takového porušení. Většina slepých metod pro odstranění rozmazání vyžaduje...Title: Image Deblurring in Demanding Conditions Author: Jan Kotera Department: Institute of Information Theory and Automation, Czech Academy of Sciences Supervisor: Doc. Ing. Filip Šroubek, Ph.D., DSc., Institute of Information Theory and Automation, Czech Academy of Sciences Abstract: Image deblurring is a computer vision task consisting of removing blur from image, the objective is to recover the sharp image corresponding to the blurred input. If the nature and shape of the blur is unknown and must be estimated from the input image, image deblurring is called blind and naturally presents a more difficult problem. This thesis focuses on two primary topics related to blind image deblurring. In the first part we work with the standard image deblurring based on the common convolution blur model and present a method of increasing robustness of the deblur- ring to phenomena violating the linear acquisition model, such as for example inten- sity clipping caused by sensor saturation in overexposed pixels. If not properly taken care of, these effects significantly decrease accuracy of the blur estimation and visual quality of the restored image. Rather than tailoring the deblurring method explicitly for each particular type of acquisition model violation we present a general approach based on flexible automatic...Matematicko-fyzikální fakultaFaculty of Mathematics and Physic
ECSIC: Epipolar Cross Attention for Stereo Image Compression
In this paper, we present ECSIC, a novel learned method for stereo image
compression. Our proposed method compresses the left and right images in a
joint manner by exploiting the mutual information between the images of the
stereo image pair using a novel stereo cross attention (SCA) module and two
stereo context modules. The SCA module performs cross-attention restricted to
the corresponding epipolar lines of the two images and processes them in
parallel. The stereo context modules improve the entropy estimation of the
second encoded image by using the first image as a context. We conduct an
extensive ablation study demonstrating the effectiveness of the proposed
modules and a comprehensive quantitative and qualitative comparison with
existing methods. ECSIC achieves state-of-the-art performance among stereo
image compression models on the two popular stereo image datasets Cityscapes
and InStereo2k while allowing for fast encoding and decoding, making it highly
practical for real-time applications
Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects
We propose a novel method that tracks fast moving objects, mainly non-uniform
spherical, in full 6 degrees of freedom, estimating simultaneously their 3D
motion trajectory, 3D pose and object appearance changes with a time step that
is a fraction of the video frame exposure time. The sub-frame object
localization and appearance estimation allows realistic temporal
super-resolution and precise shape estimation. The method, called TbD-3D
(Tracking by Deblatting in 3D) relies on a novel reconstruction algorithm which
solves a piece-wise deblurring and matting problem. The 3D rotation is
estimated by minimizing the reprojection error. As a second contribution, we
present a new challenging dataset with fast moving objects that change their
appearance and distance to the camera. High speed camera recordings with zero
lag between frame exposures were used to generate videos with different frame
rates annotated with ground-truth trajectory and pose
Dispersive analysis of K_{L mu3} and K_{L e3} scalar and vector form factors using KTeV data
Using the published KTeV samples of K_L --> pi^{\pm} e^{\mp} nu and K_L -->
pi^{\pm} mu^{\mp} nu decays [1], we perform a reanalysis of the scalar and
vector form factors based on the dispersive parameterization [2,3]. We obtain
phase space integrals I^e_K = 0.15446 \pm 0.00025 and I^{mu}_K = 0.10219 \pm
0.00025. For the scalar form factor parameterization, the only free parameter
is the normalized form factor value at the Callan-Treiman point (C); our best
fit results in ln C = 0.1915 \pm 0.0122. We also study the sensitivity of C to
different parametrizations of the vector form factor. The results for the phase
space integrals and C are then used to make tests of the Standard Model.
Finally, we compare our results with lattice QCD calculations of F_K/F_pi and
f_+(0).Comment: 9 pages, 3 figures, to be published in PR
BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains
The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed
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Research and Design of a Routing Protocol in Large-Scale Wireless Sensor Networks
无线传感器网络,作为全球未来十大技术之一,集成了传感器技术、嵌入式计算技术、分布式信息处理和自组织网技术,可实时感知、采集、处理、传输网络分布区域内的各种信息数据,在军事国防、生物医疗、环境监测、抢险救灾、防恐反恐、危险区域远程控制等领域具有十分广阔的应用前景。 本文研究分析了无线传感器网络的已有路由协议,并针对大规模的无线传感器网络设计了一种树状路由协议,它根据节点地址信息来形成路由,从而简化了复杂繁冗的路由表查找和维护,节省了不必要的开销,提高了路由效率,实现了快速有效的数据传输。 为支持此路由协议本文提出了一种自适应动态地址分配算——ADAR(AdaptiveDynamicAddre...As one of the ten high technologies in the future, wireless sensor network, which is the integration of micro-sensors, embedded computing, modern network and Ad Hoc technologies, can apperceive, collect, process and transmit various information data within the region. It can be used in military defense, biomedical, environmental monitoring, disaster relief, counter-terrorism, remote control of haz...学位:工学硕士院系专业:信息科学与技术学院通信工程系_通信与信息系统学号:2332007115216
Variational methods for segmentation of digital images
The text covers the theory of the Mumford and Shah model for digital image segmentation. The strong and weak formulation is presented and the questions of existence, uniqueness, and solution regularity is answered. Then, a particular variant of the model called `active contours without edges' is numerically implemented. This implementation is tested on several images, the results are presented in detail and theoretically explained. Powered by TCPDF (www.tcpdf.org