Italian Chapter Conference 2007
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Browsing Italian Chapter Conference 2007 by Subject "Categories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniques"
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Item Marker-less Real-time Camera Registration for Mixed Reality(The Eurographics Association, 2007) Liverani, Alfredo; Grandi, Stefania; Raffaele De Amicis and Giuseppe ContiA real-time and robust algorithm for 3D camera registration in a Mixed Reality (MR) environment is described in this paper. The most used technique for camera pose (position and orientation with respect to a fixed or moving object) is based on fiducial marker tracking. This method guarantees good results in real-time with a single camera, but needs several high contrast printed markers on external world in order to make possible the calculation of camera parameters and positioning. Thus real 3D geometric data are grabbed only through already known markers. The aim of this research is a real-time monocular camera tracking and registration through automatic image features extraction from video streaming. The first implementation of the method, several examples and confrontation with non interactive algorithm for SFM (Structure From Motion) have demonstrated that this meets the real-time response and sufficient precision needed by a Mixed Reality environment.Item Methods for Spatial Data Quality of 3D City Models(The Eurographics Association, 2007) Krämer, Michel; Haist, Jörg; Reitz, Thorsten; Raffaele De Amicis and Giuseppe Conti3D city models are nowadays used in very different applications. Due to this, the commercial exchange and, thus, the demand for high quality data becomes more and more important. We describe a quality model that defines common parameters used for spatial quality measurement, especially when dealing with 3D city models. Therefore, we explore different representations of city models: the reality, the user's idea and the digital data set. A welldefined mathematical formalism which addresses the different quality parameters is presented. This formalism also helps to create algorithms for measurement and improvement of spatial data quality. The aim is to be able to define uniformed criteria which can be easily transformed into software. The implemented prototype serves as base for the evaluation in which we provide examples based on actual data sets using typical quality requirements.