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The methods of texture mapping on point cloud
Květný, Michal ; Štarha, Pavel (referee) ; Procházková, Jana (advisor)
This diploma thesis deals with a mapping of textures obtained from ordinary photographs onto the three-dimensional point clouds created by a 3D scanner device. The thesis proposes a mapping method that consists of reconstruction of a sparse point cloud from input photos and registration of the point cloud with an input dense point cloud using FPFH (Fast Point Feature Histogram) descriptors. The thesis also contains an implementation of the proposed method in C++ programming language which is tested on a real world data.
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Harris corner detector
Květný, Michal ; Martišek, Dalibor (referee) ; Procházková, Jana (advisor)
This bachelor’s thesis deals with application of Harris corner detector for finding corner points in images and models. This thesis also contains an implementation of the algorithms in Python programming language. Programs are tested on real images captured by camera and models created by 3D scanning.
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Animation and calculation of cyclic curves in Maple
Novák, Jiří ; Hoderová, Jana (referee) ; Procházková, Jana (advisor)
The main goal of the thesis was to deal with the topic of cyclic curves and creating interactive maplets that would illustrate creating and characteristics of these curves. The final version includes maplet with plotting parametric curve, maplet with computing curvature, maplet for all the types of cyclic curves, set of maplets for interactive change of parameters and set of maplets that would illustrate creating each cyclic curve (with animation). The thesis also contains a theoretical part dedicated to the theory of cyclic curves.
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Point Interpolation in Projective Space
Burešová, Klára ; Procházková, Jana (referee) ; Štarha, Pavel (advisor)
The aim of this work is to describe interpolation curves in the plane and space. Part of it is the definition of the projective space in which we will work and also other concepts such as vector space, derivation, curve, etc. The second part is a description of different types of approximation of curves. The main part is a program for the reconstruction of a kinematic curve, which describes the trajectory of a moving body. Sub-methods were programmed using the Matlab development tool.
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NURBS surfaces of revolution
Sekáč, Ondřej ; Martišek, Dalibor (referee) ; Procházková, Jana (advisor)
The goal of this bachelor’s thesis is to give an overview of NURBS surfaces of revolution. NURBS surfaces are rational B-spline surfaces, which allows for construction of conics, hence anuloid, sphere and other surfaces of revolution. The thesis also contains an application that can create NURBS surfaces of revolution and description of algorithms used.
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Structure From Motion From Multiple Views
Mrkvička, Daniel ; Štarha, Pavel (referee) ; Procházková, Jana (advisor)
This thesis deals with the reconstruction of the scene using two or more images. It describes the whole reconstruction process consisting of detecting points in images, finding the appropriate geometry between images and resulting projection of these points into the space of scene. The thesis also includes a description of the application, which demonstrates the described methods.
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Spectral Analysis in Microscopy
Sýs, Michal ; Procházková, Jana (referee) ; Štarha, Pavel (advisor)
The aim of this work is to develop a mathematical apparatus for the accurate description of the colour of objects in a microscope image. This problem is solved by extracting the brightness intensities of pollen grains at fourteen wavelength bands and representing them in color space. The developed apparatus has been successfully applied to two series of images, allowing comparison of the color of individual objects and simplifying its description. The results obtained allow accurate investigation of the colour of objects in the image and form a simple tool for spectral analysis.
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Image Descriptors and their Usage for Object Detection
Bature, Jonathan ; Druckmüllerová, Hana (referee) ; Procházková, Jana (advisor)
Detekce obličeje v obrazech je široce prozkoumaným tématem v počítačovém vidění. Algoritmus která umožnila rozpoznání obličeje a stanovila nové standardy v této oblasti byla Viola-Jones algoritmus. Tato práce popisuje a vysvětluje vlastní implementaci obličeje detektor založený na algoritmu Viola Jones pomocí Matlab CascadeObjectDetector. Tato diplomová práce přispívá ke zkoumání technik, jako je hlavní součást analýza (PCA) pro rozměrovou redukci deskriptorů pro stanovení detekce objektu systém, který dosahuje nejlepšího kompromisu mezi výkonem a rychlostí. V našem přístupu, detekce obličeje se provádí analýzou hlavních součástí (PCA). Obraz obličeje je promítnutý do prostoru obličeje, který kóduje nejlepší variace známých obrazů obličeje. The prostor obličeje je definován vlastní tváří. Vlastní tvář je sada obličejových vlastních vektorů které nemusí odpovídat běžným rysům obličeje, jako jsou oči, nos a rty. Systém funguje tak, že promítá předem extrahované obličejové obrazy do řady obličejových prostorů které představují velké odchylky mezi známými obrazy obličeje. Obličeje jsou klasifikovány jako známé nebo neznámé tváře po porovnání s existujícím obrázkem tváře v databázi.
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