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Résumé : Augmented reality (AR) is well suited for situated visualization (SV), a method to represent data in context, with potential in many situations. Furthermore, AR-based SV poses challenges and research prospects. A vital one is the egocentric viewpoint limitation of the users, which reduces their ability to explore all the available information. To create new approaches that will overcome this limitation, this work began by understanding the relevance of viewpoints in typical AR-based SV scenarios, characterizing the approaches already proposed in order to tackle it. The new proposed approaches should be evaluated in different settings to improve and validate them, as well as propose guidelines for some relevant scenarios.