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Wiki Page: | Visual Odometry for an Omni-directional Camera | |
Title: | Visual Odometry for an Omni-directional Camera | |
Description: | An omnidirectional camera can acquire panoramic views of the surrounding environment. The purpose of this thesis is to design, develop, and test an odometric system (odometry = measurement of the path) based on the images taken by an omnidirectional camera during motion. The reference paper to start from is (Taddei, Ferran, Caglioti. IJCV 2012) and the result should be able to extract “feature points” from the images, match them in a robust way, and then apply the machinery for visual odometry on the resulting set of correspondences. A calibration procedure for the system should be provided together with an experimental validatio of the resulting system.
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Tutor: | [[VincenzoCaglioti | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: | 1 April 2012 | |
Students: | 1 - 2 | |
CFU: | 10 - 20 | |
Research Area: | Computer Vision and Image Analysis | |
Research Topic: | None | |
Level: | Bachelor of Science, Master of Science | |
Type: | Thesis |
Wiki Page: | Visual stabilization techniques for tracking with a moving camera | |
Title: | Visual stabilization techniques for tracking with a moving camera | |
Description: | Target tracking in video sequences can suffer poor performances if the camera is moving (e.g, wind, hand held device, aerial tracking system). The aim of the project is to investigate the state of the art in image stabilization and registration in non static or cluttered scenes. Possible ideas to be investigated include: homography tracking or smoothing, 3D camera motion estimation, image registration and mosicing. As a by product of the work, a tool for the performance evaluation of image stabilization algorithms should be designed.
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Tutor: | [[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: | 1 April 2012 | |
Students: | 1 - 2 | |
CFU: | 10 - 20 | |
Research Area: | Computer Vision and Image Analysis | |
Research Topic: | None | |
Level: | Bachelor of Science, Master of Science | |
Type: | Thesis |
Wiki Page: | Wikipedia Page Social Network | |
Title: | Wikipedia Page Social Network | |
Description: | Goal of this project is to study the social network of Wikipedia pages, where two pages are connected if they share at least one main contributor. This social network can be studied to reveal interesting information; for example, it is possible to extract clusters of pages which apparently have nothing in common. A metric of distance between pages in the network can be defined, and compared with other metrics, such as the distance in the category tree or in the hyperlink graph. | |
Tutor: | [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: | ||
Students: | 1 - 2 | |
CFU: | 5 - 20 | |
Research Area: | Social Software and Semantic Web | |
Research Topic: | Social Network Analysis | |
Level: | Bachelor of Science, Master of Science | |
Type: | Course, Thesis |
Wiki Page: | Wikipedia Tripartite Graph | |
Title: | Wikipedia Tripartite Graph | |
Description: | When a user edits a Wikipedia page, we can establish a link among her, the page and the categories to which the page belongs. A model to represent this information is a tripartite graph. Aim of this project is to build a tripartite graph from Wikipedia users, pages and categories, and mine the outcome network to extract emergent semantics. | |
Tutor: | [[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png
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Start: | ||
Students: | 1 - 2 | |
CFU: | 20 - 20 | |
Research Area: | Social Software and Semantic Web | |
Research Topic: | Social Network Analysis, Semantic Tagging | |
Level: | Master of Science | |
Type: | Thesis |