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3D Objects Detection in Images
Bordovský, Gabriel ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This bachelors thesis deals with detection of a known 3D object in images and its pose estimation. The method uses the ORB-type keypoints and their location on the surface of a bounding box. By using solve of PnP problem a pose of the object is obtained using the points 2D coordinates from the image and the 3D coordinates of the very points from the registered model. This thesis expands a detection method for simple box-shaped objects, which is a part of OpenCV library, for the usage on more complex objects. In experiments, the detector reached a detection success rate of 85 % and the computed pose matches the real one approximately for 88 %.
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Application of morphometric methods in anthropology
Pešek, Adam ; Eliášová, Hana (advisor) ; Šuláková, Hana (referee)
In last thirty years a new branch of comparative biology is growing rapidly, this branch is called the geometric morphometrics. Methods of geometrics morphometrics allow to gain and evaluate data about shape and size of studied object in 2D or 3D space. The character of input data divided methods used in geometric morphometric on method based on analysis of outlines and method based on analysis of landmarks. Many modern technologies like contact scanner, laser scanner or tps software are helping in data acquisition. The main conclusion of this bachelor work was exploring usability of methods of geometric morphometric in many cases in Anthropology. In many biological and mainly anthropological studies, geometric morphometric were applicated to compare shape variance and in studies of variability of shape. Common are studies of sexual dimorphism on human skeleton, ontogenetic developement of skeleton, disparity of sign on human skeleton among population and ethnicity or changes of these forms of structures in populations during time.
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Similarity search in image collections
Navrátil, Lukáš ; Bartoš, Tomáš (advisor) ; Skopal, Tomáš (referee)
Detection of keypoints from image and their characterization by using descriptors is common technique in some branches of computer vision. The goal of this thesis is to explore and confirm usability of this technique for similarity retrieval in image collections. For this purpose it will be created a web application used for collecting ratings of similarity from users which will be subsequently compared with results computed by the implementation of SURF algorithm, one of algorithms used for detection and description of image keypoints. It will also be discussed the impact of metrics and parameters influencing results of computation of similarity between images and it will be made an effort to find settings for which computed results will be closest to user's similarity perception.
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Similarity search in image collections
Navrátil, Lukáš ; Bartoš, Tomáš (advisor) ; Skopal, Tomáš (referee)
Detection of keypoints from image and their characterization by using descriptors is common technique in some branches of computer vision. The goal of this thesis is to explore and confirm usability of this technique for similarity retrieval in image collections. For this purpose it will be created a web application used for collecting ratings of similarity from users which will be subsequently compared with results computed by the implementation of SURF algorithm, one of algorithms used for detection and description of image keypoints. It will also be discussed the impact of metrics and parameters influencing results of computation of similarity between images and it will be made an effort to find settings for which computed results will be closest to user's similarity perception.
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Application of morphometric methods in anthropology
Pešek, Adam ; Eliášová, Hana (advisor) ; Šuláková, Hana (referee)
In last thirty years a new branch of comparative biology is growing rapidly, this branch is called the geometric morphometrics. Methods of geometrics morphometrics allow to gain and evaluate data about shape and size of studied object in 2D or 3D space. The character of input data divided methods used in geometric morphometric on method based on analysis of outlines and method based on analysis of landmarks. Many modern technologies like contact scanner, laser scanner or tps software are helping in data acquisition. The main conclusion of this bachelor work was exploring usability of methods of geometric morphometric in many cases in Anthropology. In many biological and mainly anthropological studies, geometric morphometric were applicated to compare shape variance and in studies of variability of shape. Common are studies of sexual dimorphism on human skeleton, ontogenetic developement of skeleton, disparity of sign on human skeleton among population and ethnicity or changes of these forms of structures in populations during time.
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Image registration
Jindra, Jakub ; Jiřík, Radovan (referee) ; Krátká, Lucie (advisor)
This bachelor thesis deals with various methods of image registration in the medical treatment. The criterias are elaborated for selecting the correct method of registration. This work describes parameters for proper transformation, identification, registration proces, a final assessment of registration for its approval and the corresponding evaluation. Some basic programs have already concerned with image registration and they are accompanied by basic information. This semester thesis also describes the basics of working with MRI and the creation of anatomical atlas from the magnetic resonation rat’s brain. In conclusion is described the creation of a simple graphical interface for viewing images of brain obtained from the magnetic resonance. Furthermore, the work deals with the registration of images according freely available programs and the related system of evaluation of these results. The scoring system is processed in a graphical users interface Matlab, where is used histograms, mosaic and evaluation using the cross.
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Magic Projection
Kaisler, Vojtěch ; Polok, Lukáš (referee) ; Zachariáš, Michal (advisor)
The bachelor thesis describes the design and implementation of an application which projects an image on a mobile canvas. The user then moves the canvas within the projection space. The projection is always focused only on this canvas. The thesis deals with tracking of movement, rotation and tilt of the screen. A camera with an infrared filter is used for tracking the canvas fitted with infrared LEDs. The thesis mentions two different types of projection.
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Automatic Photography Categorization
Matuszek, Martin ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis deal with choosing methods, design and implementation of application, which is able of automatic categorization photos based on its content into predetermined groups. Main steps of categorization are described in greater detail. Finding and description of interesting points in image is implemented using SURF, creation of visual dictionary by k-means, mapping on the words through kd-tree structure. Own evaluation is made for categorization. It is described, how the selected steps were implemented with OpenCV and Qt libraries. And the results of runs of application with different settings are shown. And efforts to improve outcome, when the application can categorize right, but success is variable.
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Automatic Photography Categorization
Veľas, Martin ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis deals with content based automatic photo categorization. The aim of the work is to create an application, which is would be able to achieve sufficient precision and computation speed of categorization. Basic solution involves detection of interesting points, extraction of feature vectors, creation of visual codebook by clustering, using k-means algorithm and representing visual codebook by k-dimensional tree. Photography is represented by bag of words - histogram of presence of visual words in a particular photo. Support vector machines (SVM) was used in role of classifier. Afterwards the basic solution is enhanced by dividing picture into cells, which are processed separately, computing color correlograms for advanced image description, extraction of feature vectors in opponent color space and soft assignment of visual words to extracted feature vectors. The end of this thesis concerns to experiments of of above mentioned techniques and evaluation of the results of image categorization on their usage.
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Interest-Point Detection on CUDA
Ryba, Jan ; Řezníček, Ivo (referee) ; Herout, Adam (advisor)
Corner point detection is one of many functions used in computer vision for tasks such as tracking, detecting objects, comparing images and much more. Many of the algorithms are complex and require a lot of CPU time. This is where the CUDA platform comes in. CUDA kernels run parallely on graphic accelerators can rapidly decrease time needed for execution, allowing even these complex calculations to work in real time or even better. Text focuces on Moravec and Harris corner detection algorithms and their effective implementation on CUDA. Examination of potetntial and performance of CUDA platform is also importatnt.
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