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Automatic analysis of squash straight drives accuracy from a single camera view
Veedla, Walter Herold ; Šikudová, Elena (advisor) ; Goliaš, Matúš (referee)
Squash is a racket and ball sport with an estimated 20 million players worldwide. Compared to sports like tennis and golf, squash tracking and analysis systems are rela- tively underdeveloped and performance analysis is often done by manual instruction or by pencil-and-paper. While in the recent years more advanced squash specific technology has become available, it requires high-cost specialised hardware and does not capture the location of the bounce of the ball on the floor. This project attempts to tackle this gap of existing squash analysis tools by using computer vision techniques to automate the collection of shot data of a common squash training drill "straight drives", where the ball is being repeatedly hit parallel to a side-wall of the court. An analytics program is developed that can process a video file of a player performing the "straight drives" drill and produce accuracy metrics from the video. The result of this work is a computer program that allows an easy way for the user to get feedback from their training and track their progress. 1
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Panorama stitching regularly spaced photos
Douša, Marek ; Šikudová, Elena (advisor) ; Goliaš, Matúš (referee)
This thesis addresses the problem of stitching photos into a panorama in two ways - using features and uniformly distributed photos. The mathematical basis is introduced in the form of transformations used in both approaches, followed by the currently mainstream approach to stitching, and finally the theoretical part describes the evenly spaced image approach, for which a demonstrative program is also provided. Both approaches have their advantages and disadvantages on which the thesis emphasizes. This bachelor thesis is designed to serve as a stepping stone for anyone who would like to study the topic of stitching photos into panoramas along with the current state of the art, which has its pros and cons, so that the reader can avoid dead ends or possible surprises during the creation of panoramas.
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Gradient boosted segmentation of retinal fundus images
Goliaš, Matúš ; Šikudová, Elena (advisor) ; Škovierová, Júlia (referee)
Title: Gradient boosted segmentation of retinal fundus images Author: Matúš Goliaš Department: Department of Software and Computer Science Education Supervisor: Doc. RNDr. Elena Šikudová PhD., Department of Software and Computer Science Education Abstract: Over the recent years, there has been an increase in the use of automatic methods in medical diagnosis. A significant number of publications have analysed eye disorders and diseases. One of the most severe eye conditions is glaucoma. It damages optic nerves and causes gradual loss of vision. An essential step towards a faster diagnosis of this disease is accurate segmentation of the optic disc and cup. This task is difficult due to many retinal defects, different image acquisition techniques, and artefacts caused by imaging devices. This thesis describes an iterative threshold-based algorithm for extraction of the optic disc. An objective function quantifying object similarity to the optic disc is defined to direct the iteration. Following that, we introduce a superpixel-based classification algorithm for extraction of the optic cup. We propose the use of gradient boosted decision trees which outperform random forest and support vector machine. In addition, we evaluate the proposed algorithms and their alternatives on a publicly available retinal fundus...
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Hybrid renderer
Goliaš, Matúš ; Pelikán, Josef (advisor) ; Horáček, Jan (referee)
Title: Hybrid renderer Author: Matúš Goliaš Department: Department of Software and Computer Science Education Supervisor: RNDr. Josef Pelikán, KSVI Abstract: In medical applications, there are often used both volume data and objects defined by their surface. However, rendering these two types of data together is rather dif- ficult. This thesis provides the description of ray marching algorithm for volume rendering. We base the algorithm on the emission-absorption model of light trans- fer through a gaseous material. Moreover, we discuss the problems of adding meshes to the volume with respect to the algorithm. Next, we propose an ex- tension of ray marching which takes all meshes into account and renders them with the volume correctly. In addition, we compare the individual approaches for solving steps of the algorithm. Finally, we implement our solution in an ap- plication for volume viewing. We develop this renderer using OpenGL and we discuss our options of implementation. Furthermore, we extend our application by allowing the camera inside the volume, clipping the scene and interactive edit- ing of transfer functions which define the colour representation of volume data. Subsequently, we describe every feature and discuss its possible implementations. Keywords: volume data, ray marching, translucent...
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