The point cloud is an unorganized set of points with 3D coordinates (x, y, z) which represents a real object. These point clouds are acquired by the technology called 3D scanning. This scanning technique can be done by various methods, such as LIDAR (Light Detection And Ranging) or by utilizing recently developed 3D scanners. Point clouds can be therefore used in various applications, such as mechanical or reverse engineering, rapid prototyping, biology, nuclear physics or virtual reality. Therefore in this doctoral Ph.D. thesis, I focus on feature detection and visualization in a point cloud. These features represent parts of the object that can be described by the well--known mathematical model (lines, planes, helices etc.). The points on the sharp edges are especialy problematic for commonly used methods. Therefore, I focus on detection of these problematic points. This doctoral Ph.D. thesis presents a new algorithm for precise detection of these problematic points. Visualization of these points is done by a modified curve fitting algoritm with a new weight function that leads to better results. Each of the proposed methods were tested on real data sets and compared with contemporary published methods.

This thesis deals with gradient calculation in triangulation nodes using weighted average of gradients of neighboring elements. This gradient is then used for a posteriori error estimation which produce better solution of partial differential equations. This work presents two common methods - Finite elements method and Finite difference method.

Diploma thesis deals with basic physical quantities and laws relating to non-contact temperature measurement and emissivity determination of solids. It describes the design and implementation of the IR (Infra-Red) thermometer often missed with automatic emissivity correction. The first chapter explains the concept of temperature and basic principles of temperature measuring . The second chapter focuses on the history and theory of non-contact temperature measurement. Gradually are explained the concepts related to non-contact temperature measurement and the problem of determining the emissivity of the body. Next third chapter describes the proposed hardware solution of IR thermometer. The fourth chapter describes a software written for the IR thermometer. The fifth and last chapter summarizes the findings and knowledge from the implementation of non-contact thermometer and measuring emissivity.

This diploma thesis consist of basic overview of contact and non-contact measuring methods used at present days across industrial Applications. On the base of given specification for designing of measuring station for measuring chamfer of rotary components The choice and evaluation of theoretical applicability for our application is performed. In the practical part of this diploma thesis The applicability is verified. Performance of these a few exemplary measuring shows possible way of design of constructional solution. All this in a close cooperation with company MESING.

This work presents a system for semi-autonomous optical localization of distant moving targets using multiple positionable cameras. The cameras were calibrated and stationed using custom designed calibration targets and methodology with the objective to alleviate the main sources of errors which were pinpointed in thorough precision analysis. The detection of the target is performed manually, while the visual tracking is automatic and it utilizes two state-of-the-art approaches. The estimation of the target location in 3-space is based on multi-view triangulation working with noisy measurements. A basic setup consisting of two camera units was tested against static targets and a moving terrestrial target, and the precision of the location estimation was compared to the theoretical model. The modularity and portability of the system allows fast deployment in a wide range of scenarios including perimeter monitoring or early threat detection in defense systems, as well as air traffic control in public space.

This thesis describes design and practical realization of a golf simulator. It includes specifications of the hardware, that is a necessity for such simulator, and implementation of the detection of a golf swing and ball flight. The simulator has to fulfill several conditions that were stated at the beginning of the draft. One of the most important conditions was low purchase price, and therefore the simulator is based on common USB cameras Playstation Eye 3. The main goal was to create a user friendly simulator, that will be appropriate both for indoor and outdoor conditions. The final solution was compared with Full Swing simulator. The accuracy of our simulator was far better than the compared one at short game and putting through the use of scanning the ball right after the start of its flight. Accuracy at putting ranged: speed of the ball +/- 0.2 m/s, launch angle +/- 1 degree and flight angle +/- 0.8 degrees.

This paper deals with 3D reconstruction of objects from image data. There is describes theoretical basis of the 3D optical scanning. Handheld 3D optical scanner setup is described composed of a single camera and a line laser whose position is fixed with respect to the camera. Set of image markers and a simple real-time detection algorithm are proposed. Detected markers are used to estimate position and orientation of the camera. Finally, laser detection and triangulation of points lying on object surface are discussed.

The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine  which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.

This thesis deals with reconstruction of golf ball position using multiple cameras. Reconstruction will be used for golf simulator project. System is using fotogrametric calibration and triangulation algorithm for obtaing point coordinates. Work also discuss options for camera selection. The result is making of prototype of the simulator.

Pro optimalizaci letových trajektorií ve velmi malé nadmorské výšce, terenní vlastnosti musí být zahrnuty velice přesne. Proto rychlá a efektivní evaluace terenních dat je velice důležitá vzhledem nato, že čas potrebný pro optimalizaci musí být co nejkratší. Navyše, na optimalizaci letové trajektorie se využívájí metody založené na výpočtu gradientu. Proto musí být aproximační funkce terenních dat spojitá do určitého stupne derivace. Velice nádejná metoda na aproximaci terenních dat je aplikace víceroměrných simplex polynomů. Cílem této práce je implementovat funkci, která vyhodnotí dané terenní data na určitých bodech spolu s gradientem pomocí vícerozměrných splajnů. Program by měl vyčíslit více bodů najednou a měl by pracovat v $n$-dimensionálním prostoru.