isprs archives XLI B3 301 2016
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The work presented in this paper, based on the results of the SLOPE (Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas)
With this information we can make façade image for 3D model, limit relaxation matching bounds, and estimate building planes from 3D point clouds after matching.. 2.4 Point
In this research, a modified method is presented to solve the triangulation problem using inclined angles derived from the measured image coordinates and based on spherical
In this paper, we have presented a uncertainty propagation tech- nique based on the general Gauss-Helmert method to compute the covariance matrix per 3D point and the
In this paper, we propose a new method of automated mosaicking of multiple 3D point clouds generated from a depth camera.. CHRACTERISTIC OF
This method implies a mainly planar scene to avoid mismatches; (ii) coregistration of both the dense 3D point clouds from RGB images and from TIR images by coregistering 2D
XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic.. point clouds with a partial input from such data needs to be thoroughly investigated. Once ground points
In the same way, the RGDF algorithm is divided into two steps. In the first step, all points of the input views are processed sepa- rately and the desired sums are computed
