The Computer Vision I module will provide the general information and tools for computer vision methods with regards to photogrammetry and spatial recordings (from drone to 3D laser scanners), and the human body (including body scanners and mobile devices). It is difficult to imagine working with 3D models consisting of thousands of points without appropriate visualization. Therefore, graphical tools, such as 3D model construction (e.g. organ segmentation), the interactive definition and validation of metrics and the visualization of the results (e.g. showing the registered 3D models on top on the raw image data) will be presented to facilitate the understanding of these techniques. Virtual reality will be part of the visualization techniques with regards to spaces, objects and human bodies (including rigging).
Special emphasis will be given on computation data analyses including statistical data analyses and artificial intelligence techniques, including big data, deep learning and blockchain to ensure a secure data exchange among the different actors involved in these processes.
Special emphasis will be given on computation data analyses including statistical data analyses and artificial intelligence techniques, including big data, deep learning and blockchain to ensure a secure data exchange among the different actors involved in these processes.
- Teacher: Pietro Cipresso