Parametric Dense Stereovision Implementation on a System-on Chip (SoC)

This paper proposes a novel hardware implementation of a dense recovery of stereovision 3D measurements. Traditionally 3D stereo systems have imposed the maximum number of stereo correspondences, introducing a large restriction on artificial vision algorithms. The proposed system-on-chip (SoC) provides great performance and efficiency, with a scalable architecture available for many different situations, addressing real time processing of stereo image flow. Using double buffering techniques properly combined with pipelined processing, the use of reconfigurable hardware achieves a parametrisable SoC which gives the designer the opportunity to decide its right dimension and features. The proposed architecture does not need any external memory because the processing is done as image flow arrives. Our SoC provides 3D data directly without the storage of whole stereo images. Our goal is to obtain high processing speed while maintaining the accuracy of 3D data using minimum resources. Configurable parameters may be controlled by later/parallel stages of the vision algorithm executed on an embedded processor. Considering hardware FPGA clock of 100 MHz, image flows up to 50 frames per second (fps) of dense stereo maps of more than 30,000 depth points could be obtained considering 2 Mpix images, with a minimum initial latency. The implementation of computer vision algorithms on reconfigurable hardware, explicitly low level processing, opens up the prospect of its use in autonomous systems, and they can act as a coprocessor to reconstruct 3D images with high density information in real time

Automatizace procesů správy a možnosti integrace Polytematického strukturovaného hesláře v Národní technické knihovně: Automatization of management processes and possibilities of integration of Polythematic Structured Subject Heading System at National Technical Library

Polytematický strukturovaný heslář (PSH) je česko-anglický řízený slovník, spravovaný Národní technickou knihovnou (NTK). Jeho primárním účelem je ruční indexace dokumentů v NTK a dalších paměťových institucích, které jej používají. Jeho současná verze (PSH 3.0) obsahuje přes 13 800 hesel, rozdělených do 44 kategorií pokrývajících hlavní okruhy lidského vědění. Cílem práce je automatizace a standardizace procesů spojených s jeho obsahovou aktualizací, správa a vývoj prostředků určených pro jeho prezentaci a vyhledávání možností integrace do projektů, které mohou těžit z jeho strukturních vlastností.Polythematic structured subject heading system (PSH) is czech-english controlled vocabulary managed at the National technical library (NTL). PSH is primarily intended as a tool for manual indexing of documents at NTL and other memory institurions. Its current version (PSH 3.0) contains over 13 800 subject headings divided into 44 categories which cover the main aspects of human knowledge. The aim of this work is the automation and standardization of its content update and management including development of software tools. Integration of PSH to other projects is also investigated