This work describes ways to use a person identification based on faces on mobile devices with Android platform. A reader is introduced into a structure of this system and a way to create applications for it. Besides, there are also methods usable to the face identification. Some of these methods (used in an implementation) are described in more detail. This work also contains a description of model AAM (Active Appearance Model) for implementing in mobile devices and evaluation of used algorithms results.

This master's thesis is about the most known methods for face recognition. There are described their advantages and disadvantages. This work is specialized at holistic methods for face recognition, which are working with 2D pictures of people. I implemented the automatic system for face recognition according to digital picture of face. There was, in this system, implemented these methods: KNN (K nearest neighbour), PCA (Principal component analysis) and LDP (Linear doscriminant projection). There was done some tests to compare implemented methods. The tests was done on the pictures from dataset FERET. In the conclusion of this text are considered implemented approaches and is marked the best method for face recognition from implemented.

The essence of face recognition within the image is generally computer vision, which provides methods and algorithms for the implementation. Some of them are described just in this work. Whole process is split in to three main phases. These are detection, aligning of detected faces and finally its recognition. Algorithms which are used to applied in given issue and which are still in progress from todays view are mentioned in every phase. Implementation is build up on three main algorithms, AdaBoost to obtain the classifier for detection, method of aligning face by principal features and method of Eigenfaces for recognizing. There are theoretically described except already mentioned algorithms neural networks for detection, ASM - Active Shape Models algorithm for aligning and AAM - Active Appearance Model for recognition. In the end there are tables of data retrieved by implemented system, which evaluated the main implementation.

Master´s thesis deals with current problems of face detection and its parts in the infrared thermographic spectrum. Most previously published literature deals with the detection in the visible spectrum, making the thermographic detection range an interesting alternative. The work deals with the processing of image signals, images and faces in thermographic spectrum, selected methods of face detection and its parts and also deals with practical system design for detecting facial parts in this spectrum and its subsequent testing.

By recycling and reusing materials to close the resource cycle and move towards a circular economy, waste can be significantly reduced. At the same time, cities and regions offer opportunities to practice circular economy. As the main source of waste in the EU, the construction industry needs to both improve the recycling rate and find alternatives with a lower carbon footprint. Mineral wool waste is often considered non-recyclable, but the disposal of landfill will no longer be suitable in the medium to long term. At the same time, mineral wool can react with the alkaline activator to generate alkali activated concrete (AA concrete), which can be used as a substitute for cement concrete. This study is conducted on building typology to track mineral wool from individual building levels in Swiss dwellings over time and space. Afterward, Geographic Information System (GIS) was used to select the suitable location for establishing a mineral wool recycling plant, considering accessibility and transportation distance. Finally, using the life-cycle assessment (LCA) framework, emissions are calculated through the production phase. The results revealed that the mineral wool stock shows an increasing trend from 2020 to 2035, and can provide a stable supply. In addition, using mineral wool waste to produce AA concrete can effectively reduce CO2 emissions. Therefore, mineral wool waste has the potential to become raw material for alkali-activated materials (AAMs). Recycling factories can be set up in Zug, Zurich, and Bern as a priority. The recycling of mineral wool can be seen as a practical application of the circular economy strategy in the framework of urban planning.