2026-06-04T12:48:25Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/99262026-02-03T12:10:27Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc González-Linares, José María author Guil-Mata, Nicolás author Ramos-Cózar, Julián author 2015-06-17 In this paper a method for improving a tracking algorithm in an augmented reality application is presented. This method addresses several issues to this particular application, like marker-less tracking and color constancy with low quality cameras, or precise tracking with real-time constraints. Due to size restrictions some of the objects are tracked using color information. To improve the quality of the detection, a color selection scheme is proposed to increase color distance between different objects in the scene. Moreover, a new color constancy method based in a diagonal-offset model and k-means is presented. Finally, some real images are used to show the improvement with this new method. http://hdl.handle.net/10630/9926 http://orcid.org/0000-0002-0545-5958 Arquitectura de ordenadores Robust tracking for augmented reality