Abstract: A system and a method for modeling a predefined space including at least one three-dimensional physical surface, referred to hereinafter as a “measuring space”. The system and method use a scanning system enabling to acquire three-dimensional (3D) data of the measuring space and at least one two-dimensional (2D) sensor enabling to acquire 2D data of the measuring space. The system and method may enable generating a combined compound reconstructed data (CRD), which is a 3D geometrical model of the measuring space, by combining the acquired 2D data with the acquired 3D data, by reconstructing additional 3D points, from the combined 3D and 2D data thereby generating the CRD model. The generated CRD model includes a point cloud including a substantially higher density of points than that of its corresponding acquired 3D data point cloud from which the CRD was generated.

Abstract: A system and a method for modeling a predefined space including at least one three-dimensional physical surface, referred to hereinafter as a “measuring space”. The system and method use a scanning system enabling to acquire three-dimensional (3D) data of the measuring space and at least one two-dimensional (2D) sensor enabling to acquire 2D data of the measuring space. The system and method may enable generating a combined compound reconstructed data (CRD), which is a 3D geometrical model of the measuring space, by combining the acquired 2D data with the acquired 3D data, by reconstructing additional 3D points, from the combined 3D and 2D data thereby generating the CRD model. The generated CRD model includes a point cloud including a substantially higher density of points than that of its corresponding acquired 3D data point cloud from which the CRD was generated.