Arvutiteaduse instituut

Selle valdkonna püsiv URIhttps://hdl.handle.net/10062/14970

Sirvi

Sirvi Arvutiteaduse instituut Märksõna "3D" järgi

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  • Pisipilt
    Kirje
    Bomb Golf – A Precision-Based Mobile Game
    (Tartu Ülikool, 2020) Rüüsak, Kaarel; Tunnel, Raimond-Hendrik, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
    This thesis is about creating a casual mobile game. There have been very few examples of good physics-based 3D mobile games that reward the accuracy and timing of the player. This thesis will help fill that gap by creating a game that has a unique combination of game mechanics. Most of the game was made by a team of two people, the author of the thesis focuses on the front-end development of the game. In the scope of this thesis, the game was tested at an expo. Based on the results of this test, the game was improved. Later, the game was uploaded on the Google Play store and tested online. The data gathered from the second test was used to propose future improvements for the development of the game.
  • Pisipilt
    Kirje
    Cross-Country Horse Run – Hyper-Casual Mobile Game
    (Tartu Ülikool, 2023) Raudsepp, Käroly; Nael, Daniel, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
    The thesis gives an overview of the development process of a 3D endless runner game called Cross-Country Horse Run. The purpose of the game is to give players an enjoyable experience through visual design and to create the feeling of riding a horse through the mountains. Thesis begins with an introduction to the world of mobile- and hyper-casual games. Then the design and implementation of the Cross-Country Horse Run game will be reviewed. Testing was conducted with players belonging to the target audience to assess the quality of the game and provide feedback on problem areas. Based on the collected results, some improvements were made, and some larger improvements are planned.
  • Pisipilt
    Kirje
    Mobile AR Point Cloud Matching
    (Tartu Ülikool, 2021) Sillaots, Karl - Walter; Tunnel, Raimond-Hendrik, juhendaja; Kallaste, Timo, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
    This thesis explains the process of point cloud matching, to assess its viability in mobile markerless augmented reality solutions. Traditional point cloud matching algorithms like 4-Point Congruent Systems are described and considered. 2 Point Normal Sets was chosen for real-world experimentation due to being faster and easier to implement. Additional ideas to improve performance were implemented in addition to the chosen algorithm: A pair limiter that only uses up to 100 pairs each iteration for the matching process, changing the algorithm to only perform rotations across one axis and a point sampler to reduce the amount of points used. The best values for rotation error delta were also analyzed. The first experiment done was with a point cloud in the shape of a rectangular box, to confirm if the additional ideas did improve performance. For the second experiment, various point cloud scans were made of a real-world room in Gallery Pallas. The algorithm was tested using these scans and the experiment results were documented. For the third experiment, an additional limiter was added to the point cloud scanner, so that it would only accept points closer than 2 meters from the scanner. This was done for more accurate point clouds. A second set of tests were done with this modification and the experiment results written. The fourth and final experiment was done on a mobile device. While the previous experiments showed promise and improvements with each advancement, the algorithm had problems on a mobile device when matching against a unique point cloud for each run. Since there were still good matches, the possibility of using point cloud matching for markerless augmented reality is there, but would require additional work before it can be considered usable in applications.
  • Pisipilt
    Kirje
    SIGINT – A Cooperative Puzzle Game on Vertical Wall Panels
    (Tartu Ülikool, 2021) Aksli, Mattias; Tunnel, Raimond-Hendrik, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
    This thesis describes the design and development of a cooperative puzzle video game called SIGINT. The game is designed to be displayed on the vertical smart glass wall panels of the Computer Graphics and Virtual Reality Lab at the University of Tartu, which the game uses in its level design. SIGINT was developed using the Godot game engine for the Raspberry Pi 4 single-board computer. The game was designed to be played by 2-4 people with wireless Xbox controllers. A total of five levels were developed for the game. Potential players tested the game to find flaws and assess the quality of the game. Based on the test results, improvements were made for the game, and future improvements were proposed.