keywords:"FPFH" - Search Results - Digital Repository

guest :: login Digital Repository
		Search		Submit		Help		About

Home > Search Results: keywords:"FPFH"

Search:



Search Tips :: Simple Search

Search collections:

Sort by:	Display results:	Output format:

	Colour extension of image Fast Point Feature Histogram Markovsky, Aleksander ; Druckmüller, Miloslav (referee) ; Procházková, Jana (advisor) Diplomová práce se zabývá rozšířením Fast Point Feature Histogramů o barevnou informaci za účelem vylepšení registrace mračen bodů. Popisuje proces registrace mračen bodů pomocí Iterative Closest Point, jakou roli v ní plní FPFH a diskutuje, jaké barevné prostory jsou vhodné pro registraci mračen bodů. Pro vyhodnocení přínosu zahrnutí barevné informace práce prezentuje implementaci ICP a FPFH algoritmů v Pythonu a navrhuje metodologii evaluace registrace mračen. Závěr práce je věnován diskuzi výsledků experimentů, které demonstrují, že použití barevné informace v registraci mračen snižuje počet iterací potřebných ke konvergenci ICP. Detailed record
	Object Detection Using Kinect Němec, Lukáš ; Veľas, Martin (referee) ; Španěl, Michal (advisor) This paper address the problem of object recognition using Microsoft Kinect in the fi eld of computer vision. The objective of this work was to evaluate current methods of detection of objects using depth map (RGB-D sensor). The work deals with the enviroment of point cloud and Viewpoint Feature method. It also describes the use of binary classifi er in the context of object recognition. Object detection was implemented and performed experiments with it. Detailed record
	Object Detection Using Kinect Němec, Lukáš ; Veľas, Martin (referee) ; Španěl, Michal (advisor) This paper address the problem of object recognition using Microsoft Kinect in the fi eld of computer vision. The objective of this work was to evaluate current methods of detection of objects using depth map (RGB-D sensor). The work deals with the enviroment of point cloud and Viewpoint Feature method. It also describes the use of binary classifi er in the context of object recognition. Object detection was implemented and performed experiments with it. Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.

Digital Repository :: :: :: ::
Powered by v1.1.2
Maintained by

This site is also available in the following languages:
Česky English