National Repository of Grey Literature 21 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Stereo reconstruction of vehicles' cross section
Boch, Jan ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
This master thesis deals with the design of a stereo system for processing vehicle images and subsequent reconstruction of their 3D model. The aim of the thesis is to reconstruct the vehicle model to control its dimensions and load on which restrictions are imposed in case of the use of critical transport infrastructure (tunnels, bridges). The thesis begins with a mathematical description of scene capture and continues with a research of theoretical possibilities of system configuration. One Intel RealSense 3D camera and one RGB camera were chosen as the most suitable configuration. The software solution works with the design of several different algorithms of which it is worth mentioning reconstruction using depth maps or triangulation.The resulting models in the last chapter contain data only from the aforementioned 3D camera. The model from the 3D camera could not be improved with the images from the RGB camera and camera can therefore be declared redundant. Resulting 3D model is still sufficient for the purpose of vehicle inspection and in case of continued work, another, more optimal configuration should be designed.
Real-time distance measurement with stereoscopic sensor
Janeček, Martin ; Minář, Jiří (referee) ; Hasmanda, Martin (advisor)
Project shows calibration stereoscopic sensor. Also describes basic methods stereo-corespodation using library OpenCV. Project contains calculations of disparity maps on CPU or graphic card (using library OpenCL).
Head pose estimation via stereoscopic reconstruction
Hříbková, Veronika ; Jakubíček, Roman (referee) ; Kolář, Radim (advisor)
The thesis deals with head pose estimation in stereo data. The theoretical part provides the basis for understanding the geometry of the camera, its parameters and the method of calibration. The following describes the principles of stereo analysis and creating of disparity maps. In the research section, the methods used for head pose modelling are presented and an analysis of selected published articles is given. In the course of the master’s thesis, a system of two cameras for stereoscopic acquisition of motion of the head was designed and several measurements were carried out. The obtained data was prepared for creation of disparity maps and further processing. Based on the detection of facial features, in particular the inner and outer corners of the eyes and corners of the mouth, and their correspondences, a simple geometric model in shape of triangle was created to illustrate the inclination of the facial plane in space. By computing the angle of inclination in three axes, the current head pose is obtained. Motion is modelled by tracking detected points during video sequences.
Evaluation of stereovision algorithms in Computer Vision System for MATLAB
Lauko, Matúš ; Růžička, Michal (referee) ; Grepl, Robert (advisor)
This bachelor thesis is describing limits and features of stereovision application for space orientation using MATLAB tools. The intended use is for a robot. In practical part there is used Simulink 3D Animation Toolbox for scene creation. Frist part is a background research of computer vision, stereovision and MATLAB toolboxes Computer Vision System Toolbox and Simulink 3D Animation Toolbox. In the next part there is a description of model which is used for testing computational algorithm. Subjects to test are speed and accuracy taking into account other factors.
Real-time distance measurement with stereoscopic sensor
Janeček, Martin ; Minář, Jiří (referee) ; Hasmanda, Martin (advisor)
Project shows calibration stereoscopic sensor. Also describes basic methods stereo-corespodation using library OpenCV. Project contains calculations of disparity maps on CPU or graphic card(using library OpenCL).
3D reconstruction
Musálek, Martin ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
Thesis solves 3D reconstruction of an object by method of lighting by pattern. A projector lights the measured object by defined pattern and two cameras are measuring 2D points from it. The pedestal of obejct rotates and during the measure are acquired data from different angles. Points are indentified from measured images, transformed to 3D using stereovision, connected to 3D model and displayed.
Computer vision for mechatronic applications using the OpenCV library
Černil, Martin ; Spáčil, Tomáš (referee) ; Bastl, Michal (advisor)
This thesis introduces a computer vision library OpenCV, which is subsequently implemented into three distinguishably different problems using Python programming language. These three problems are identifying an object and its location, object tracking and difference detection, safe distance qualification using a depth map.
GPU accelerated stereo image processing
Polák, Jaromir ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This thesis deals with 3D reconstruction using stereo cameras. This work is to show the usefulness of GPU acceleration for sophisticated algorithm
Stereoscopic Navigation of a Robot
Žižka, Pavel ; Šolony, Marek (referee) ; Žák, Pavel (advisor)
This work describes 3D reconstruction using stereo vision. It presents methods for automatic localization of corresponding points in both images and their reprojection into 3D space. Application created can be used for navigation of a robot and object avoidance. Second part of the document describes chosen components of the robot. Path finding algorithms are also discussed, particulary Voronoi's diagram.
Automatic positioning of the rear view mirror
Návara, Marek ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
This thesis solves design of functional device that will be able to automatically positioning back view mirrors according to the positio of driver face. Measuring position of the face provides stereovision of two webacams. The device is based on a computer Raspberry Pi 2 with designed expansion board. The created prototype can follow set view int the mirror with accuracy up to 7 cm (horizontally up to 5cm) in level of rear corner of a car. The results of this project validate design of automatic positioning mirror and it can be basis for specific implementations of the device in car.

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