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This paper describes a framework which uses augmented reality for evaluating the performance of mobile computer vision systems. Computer vision systems use primarily image data to interpret the surrounding world, e.g to detect, classify and track objects. The performance of mobile computer vision systems acting in unknown environments is inherently difficult to evaluate since, often, obtaining ground truth data is problematic. The proposed novel framework exploits the possibility to add virtualdoi:10.1109/vr.2010.5444821 dblp:conf/vr/NilssonOFZA10 fatcat:2p5lyglccjdovabryq3wjsay5u