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Uživatelské rozhraní WWW pro analýzu fotografií
Balcárek, Lukáš ; Láník, Aleš (oponent) ; Zemčík, Pavel (vedoucí práce)
Tato diplomová práce se zabývá uživatelským rozhraním pro strojové vyhodnocení technické kvality skupin fotografií. V práci jsou sepsány informace o fotografiích, grafických editorech a jejich zhodnocení. Praktická část práce je zaměřena na návrh a vytvoření aplikace s webovým uživatelským rozhraním, která vyhodnocuje a porovnává kvalitu fotografií. Závěrem je vytvořená aplikace s jejím rozhraním otestována uživateli, vyhodnocen její přínos a možnosti dalšího rozšíření.
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Interactive apps for education of vector graphics theory
Lipa, Matúš ; Šeda, Pavel (oponent) ; Rajmic, Pavel (vedoucí práce)
This work deals with the creation of several interactive web applets for education of vector graphics. Described is the image signal, his discretization, vector and bitmap types of image record. Further they describe selected vector curves, their properties, algorithms for their construction and usage. The principles of rasterization of basic vector objects are explained. Using the Figma tool, graphical user interfaces for each applet are designed. These applets are implemented using HTML and Javascript. The implemented applets are placed on web pages that are used in computer graphics education.
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Image Descriptors and their Usage for Object Detection
Bature, Jonathan ; Druckmüllerová, Hana (oponent) ; Procházková, Jana (vedoucí práce)
Face detection in images is a widely explored topic in computer vision. The algorithm that enabled face recognition and set new standards in this area was the Viola-Jones algorithm. This thesis work describes and explain the actual implementation of a face detector based on the Viola Jones algorithm using the Matlab CascadeObjectDetector. This thesis contributes to the exploration of techniques such as principal component analysis (PCA) for dimensional reduction of descriptors to establish an object detection system that achieves the best trade-off between performance and speed. In our approach, face detection is performed by Principal Component Analysis (PCA). The facial image is projected into the facial space that encodes the best variation of known facial images. The space of the face is defined by the eigenface. An eigenface is a set of facial eigenvectors that may not correspond to common facial features such as eyes, nose, and lips. The system works by projecting pre-extracted facial images into a series of facial spaces that represent large deviations between known facial images. Faces are classified as known or unknown faces after matching with an existing face image on the database.
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Image Descriptors and their Usage for Object Detection
Bature, Jonathan ; Druckmüllerová, Hana (oponent) ; Procházková, Jana (vedoucí práce)
Face detection in images is a widely explored topic in computer vision. The algorithm that enabled face recognition and set new standards in this area was the Viola-Jones algorithm. This thesis work describes and explain the actual implementation of a face detector based on the Viola Jones algorithm using the Matlab CascadeObjectDetector. This thesis contributes to the exploration of techniques such as principal component analysis (PCA) for dimensional reduction of descriptors to establish an object detection system that achieves the best trade-off between performance and speed. In our approach, face detection is performed by Principal Component Analysis (PCA). The facial image is projected into the facial space that encodes the best variation of known facial images. The space of the face is defined by the eigenface. An eigenface is a set of facial eigenvectors that may not correspond to common facial features such as eyes, nose, and lips. The system works by projecting pre-extracted facial images into a series of facial spaces that represent large deviations between known facial images. Faces are classified as known or unknown faces after matching with an existing face image on the database.
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Interactive apps for education of vector graphics theory
Lipa, Matúš ; Šeda, Pavel (oponent) ; Rajmic, Pavel (vedoucí práce)
This work deals with the creation of several interactive web applets for education of vector graphics. Described is the image signal, his discretization, vector and bitmap types of image record. Further they describe selected vector curves, their properties, algorithms for their construction and usage. The principles of rasterization of basic vector objects are explained. Using the Figma tool, graphical user interfaces for each applet are designed. These applets are implemented using HTML and Javascript. The implemented applets are placed on web pages that are used in computer graphics education.
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Uživatelské rozhraní WWW pro analýzu fotografií
Balcárek, Lukáš ; Láník, Aleš (oponent) ; Zemčík, Pavel (vedoucí práce)
Tato diplomová práce se zabývá uživatelským rozhraním pro strojové vyhodnocení technické kvality skupin fotografií. V práci jsou sepsány informace o fotografiích, grafických editorech a jejich zhodnocení. Praktická část práce je zaměřena na návrh a vytvoření aplikace s webovým uživatelským rozhraním, která vyhodnocuje a porovnává kvalitu fotografií. Závěrem je vytvořená aplikace s jejím rozhraním otestována uživateli, vyhodnocen její přínos a možnosti dalšího rozšíření.
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