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In the field of computer vision, the difficulty of processing the illumination in an arbitrary scene creates complications for a machine's understanding of the scene. Computer vision algorithms commonly use input images acquired by a camera, where the only measured quantity is the amount of light the camera's sensor receives without any additional information about the shadows, occlusion, highlights, light directionality and interreflections, to help with scene processing and understanding. This thesis applies polarization state measurements of the camera's incoming light to implicitly extract information on these illumination phenomena through a polarization-based intrinsic image decomposition. By defining and measuring the polarization state parameters of an image in the form of polarization cosines, the diffuse and specular intrinsic images can be estimated through an iterative local optimization algorithm to give additional information on the scene illumination. The decomposition algorithm is qualitatively evaluated on three image sample sets, which show that the algorithm performs well as long as the measurements are aligned. The diffuse and specular intrinsic images can then be used to improve existing scene post-processing operations without requiring additional illumination information. One of the three image sample sets is used to evaluate the effects of the decomposition on texture modification, glossiness remapping and tonemapping. The results indicate that the three operations can be either simplified or can have their quality improved with the additional information supplied by the diffuse and specular intrinsic images.

Within citizenship education, a new focus is being laid upon what is expected of citizens within a diverse and lightning-fast society: more emphasis is placed on teaching students how to understand and respect other people’s opinions, regardless of how they may contrast with one’s own. However, learning to be tolerant with others’ viewpoints comes with hurdles, as currently it is quite easy to become stuck within one’s own worldview. We developed Diermocratie, an in-classroom game aimed at encouraging a more open conversation, which breaks through these hurdles and addresses key competencies such as empathy and argumentation. By role-playing metaphors that parallel real-world events, students explore their own predispositions, are made aware of the perspectives of others, and are enabled to discuss issues objectively. From a preliminary evaluation, most students could identify the parallelism between the in-game metaphor and real-world situations. They also indicated that the game motivates them to further talk to each other, approaching sensitive topics among them., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Comp Graphics & Visualisation

We present Pingball, an audio-based mobile game that makes the classic experience of a physical pinball machine accessible to everyone, including those with visual impairments or complete blindness. Pingball keeps the essential game mechanics of traditional pinball, but both the game design and the level design were totally overhauled, to be playable without any visuals. This was accomplished by building every feature from the ground up using only sonification techniques, such as shifting pitches and varying volumes, and spatialization techniques, such as moving audio sources through three-dimensional space. The level design makes use of a broad stereo-field by having a widened playing area featuring gameplay objectives spread over different locations. Evaluation has shown the game was considered quite playable and enjoyable by players both with and without a visual impairment., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Comp Graphics & Visualisation

Bachelor End Project, Computer Science and Engineering

Unlike classical physics, quantum physics is harder to explain, as it involves very small scales and phenomena that are not visible to the naked eye. Understanding the differences between classical and quantum physics is difficult, especially for children, who cannot grasp the subtleties conveyed in complicated formulae. We propose to achieve this in a playful and immersive manner, which is a more familiar and convenient way to introduce children to new concepts. For this we developed Save Schrödinger’s Cat, a puzzle game in virtual reality featuring a classical physics mode and a quantum physics mode. As virtual objects and phenomena behave differently in each mode, this mechanic encourages players to toggle between modes, in order to explore the differences between quantum and classical physics in an immersive, entertaining and challenging way. A preliminary evaluation showed that players could better identify various distinguishing features of either mode., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Comp Graphics & Visualisation