Abstract
Despite the wide amount of computer graphics frameworks and solutions available, it is still difficult to find a perfect one fitting at the same time many constraints, like pedagogical intents and user-friendliness or speed with high rendering quality and portability. In this article we describe our contribution to the topic: the Mental Vision platform. Mental Vision is a framework composed of a teaching/research oriented graphics engine simplifying the users needs in computer visualization and a set of corollary tools specifically designed for practicing and learning of computer graphics and virtual reality. In this dissertation we explain our approach design and the contribution brought into a series of study cases to show how concretely Mental Vision satisfies existing needs not addressed by other solutions.
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Peternier, A., Vexo, F., Thalmann, D. (2008). The Mental Vision Framework - A Platform for Teaching, Practicing and Researching with Computer Graphics and Virtual Reality. In: Pan, Z., Cheok, A.D., Müller, W., El Rhalibi, A. (eds) Transactions on Edutainment I. Lecture Notes in Computer Science, vol 5080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69744-2_19
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DOI: https://doi.org/10.1007/978-3-540-69744-2_19
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