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Control of Positionable Platform for Eye Centering in Image
Magdolen, Patrik ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Ophthalmology is a branch of medicine that deals with the anatomy, physiology and diseases of the eyeball and orbit. An ophthalmic device for the acquirement and recognition of a human eye characteristics was created by researchers from Faculty of Information Technology. This device can be used either for biometric purposes or for medical purposes as a support diagnostic device. To achieve proper functionality, device must be able to adjust platform position in order to align optic camera with patient's eye. The main focus of this thesis is to design and implement an algorithm for eye centre localisation based on images of the patient's face. The first part of this thesis describes general methods for eye localisation and proposed solution. To achieve requested accuracy, combination of multiple methods is used with adjusted parameters based on platform's features. The second part describes implementation of proposed solution as well as platform control. Multiple databases were used for training and testing of the algorithm. The third part summarises performed experiments. The proposed algorithm was implemented in the C++ language, using OpenCV library. Accuracy and speed of proposed algorithm are suitable for developed platform. In the end, the results are discussed and further improvements are proposed.
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Control of Positionable Platform for Eye Centering in Image
Magdolen, Patrik ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Ophthalmology is the branch of medicine that deals with the anatomy, physiology and diseases of the eyeball and orbit. An ophthalmic device for acquirement and recognition of human eye characteristics was created by researchers from Faculty of Information Technology. This device can be used either for biometric purposes or for medical purposes as a support diagnostic device. To achieve proper functionality, device must be able to adjust platform position in order to align optic camera with patient's eye. The main focus of this work is to design and implement an algorithm for eye centre localisation based on images of the patient's face. The first part of this thesis describes general methods for eye localisation and proposed solution. To achieve desired accuracy, combination of multiple methods is used with adjusted parameters based on platform's features. The second part describes implementation of proposed solution as well as platform control. Multiple databases were used for training and testing of the algorithm and the third part summarises performed experiments. The proposed algorithm was implemented in the C++ language, using OpenCV library. Accuracy and speed of proposed algorithm are suitable for developed platform. In the end, the results are discussed and further improvements are proposed.
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An Application for Creative Writing
Magdolen, Patrik ; Podivínský, Jakub (referee) ; Krčma, Martin (advisor)
This Bachelor's thesis deals with the design and the implementation of the application, supposed to support comfortable writing of prose and offer helpful features like a management of chapters, characters and notes. It is able to automatically detect titles of chapters and names of characters in text. Application also offers other functions assisting the writer, including a name generator and an ability to set goals. The application includes multilingual multiplatform modern and personalizable GUI, which focuses on aesthetic, practicality and lucidity. Results of a usage of the application are exported into output file of various types.
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Control of Positionable Platform for Eye Centering in Image
Magdolen, Patrik ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Ophthalmology is the branch of medicine that deals with the anatomy, physiology and diseases of the eyeball and orbit. An ophthalmic device for acquirement and recognition of human eye characteristics was created by researchers from Faculty of Information Technology. This device can be used either for biometric purposes or for medical purposes as a support diagnostic device. To achieve proper functionality, device must be able to adjust platform position in order to align optic camera with patient's eye. The main focus of this work is to design and implement an algorithm for eye centre localisation based on images of the patient's face. The first part of this thesis describes general methods for eye localisation and proposed solution. To achieve desired accuracy, combination of multiple methods is used with adjusted parameters based on platform's features. The second part describes implementation of proposed solution as well as platform control. Multiple databases were used for training and testing of the algorithm and the third part summarises performed experiments. The proposed algorithm was implemented in the C++ language, using OpenCV library. Accuracy and speed of proposed algorithm are suitable for developed platform. In the end, the results are discussed and further improvements are proposed.
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Control of Positionable Platform for Eye Centering in Image
Magdolen, Patrik ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Ophthalmology is a branch of medicine that deals with the anatomy, physiology and diseases of the eyeball and orbit. An ophthalmic device for the acquirement and recognition of a human eye characteristics was created by researchers from Faculty of Information Technology. This device can be used either for biometric purposes or for medical purposes as a support diagnostic device. To achieve proper functionality, device must be able to adjust platform position in order to align optic camera with patient's eye. The main focus of this thesis is to design and implement an algorithm for eye centre localisation based on images of the patient's face. The first part of this thesis describes general methods for eye localisation and proposed solution. To achieve requested accuracy, combination of multiple methods is used with adjusted parameters based on platform's features. The second part describes implementation of proposed solution as well as platform control. Multiple databases were used for training and testing of the algorithm. The third part summarises performed experiments. The proposed algorithm was implemented in the C++ language, using OpenCV library. Accuracy and speed of proposed algorithm are suitable for developed platform. In the end, the results are discussed and further improvements are proposed.
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An Application for Creative Writing
Magdolen, Patrik ; Podivínský, Jakub (referee) ; Krčma, Martin (advisor)
This Bachelor's thesis deals with the design and the implementation of the application, supposed to support comfortable writing of prose and offer helpful features like a management of chapters, characters and notes. It is able to automatically detect titles of chapters and names of characters in text. Application also offers other functions assisting the writer, including a name generator and an ability to set goals. The application includes multilingual multiplatform modern and personalizable GUI, which focuses on aesthetic, practicality and lucidity. Results of a usage of the application are exported into output file of various types.
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