Accurate registration in augmented reality systems is essential to guarantee the visual consistency of the augmented environment. Although error in the virtual-real alignment is almost unavoidable, different approaches have been proposed to quantify and reduce such errors. However, many of the existing solutions require a lot of a priori information, or they only focus on camera calibration to guarantee good results in the registration. This article presents a heuristic method that aims to reduce registration errors in markerless augmented reality systems. The proposed solution sees error reduction as a mono-objective optimization problem, which is addressed by means of the Ant Colony Optimization (ACO) algorithm. Experimental results reveal the validity of the proposed method, reaching an average error of 1.49 pixels for long video sequences.
Le Forum Jeunes Chercheurs a été organisé lors du congrès Inforsid 2014 à Lyon. Il a accueilli 17 doctorants de première ou deuxième année travaillant dans le domaine des systèmes d’information. Ils ont rédigé un article et présenté leurs travaux lors d’une session plénière du congrès. Cet article coordonné par Guillaume Cabanac (en qualité d’organisateur du Forum) présente une sélection des quatre meilleures contributions au forum
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