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                <term xml:lang="en">LIDAR</term>
                <term xml:lang="en">Detection</term>
                <term xml:lang="en">Three-dimensional</term>
                <term xml:lang="en">Building</term>
                <term xml:lang="en">Modelling</term>
                <term xml:lang="en">Automation</term>
                <term xml:lang="en">Reconstruction</term>
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              <p>Following the development of 3D data acquisition techniques like digital photogrammetry, remote sensing and airborne laser &lt;br /&gt;scanning, the automatic building modelling is still a challenging task. Indeed, it takes a growing place in many research fields like 3D &lt;br /&gt;city modelling, cartographic analysis, urban planning, visualization and Geographic Information Systems (GIS) database &lt;br /&gt;construction. Generally, two types of approaches characterize the automatic building reconstruction. The first one is a model-driven &lt;br /&gt;approach. This parametric modelling approach consists of searching the most appropriate model among basic building models &lt;br /&gt;contained in a models library. The second one is a data-driven approach, also called non-parametric modelling approach. This &lt;br /&gt;technique attempts to model a primitive or a complex building by using series of more or less complex operations. It allows the &lt;br /&gt;generation of a model without belonging to a specific library. After an extensive state of the art, this paper confronts methods &lt;br /&gt;belonging to each type of automatic building construction approach. Based on a concrete experiment, the essential points &lt;br /&gt;characterizing each approach, including their concept and the obtained model characteristics are analysed. It is of great interest to &lt;br /&gt;study these issues, since not many of such investigations have been made before and have delivered the useful formulas. &lt;br /&gt;Consequently, improvements are introduced and have led to develop a new method for each approach. After comparison of the &lt;br /&gt;accuracy of these two methods and the characteristics of the resulting models, some solutions and recommendations are proposed.</p>
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