This is the code for unstructured 3D point cloud surface fitting using DeepFit. It allows to train, test and evaluate our weight prediction models for weighted least squares in the context of normal estimation and principal curvature estimation. We provide the code for train a model or use a ...
Normal estimationSurface fittingLeast squaresUnstructured 3D point clouds3D point cloud deep learningWe propose a surface fitting method for unstructured 3D point clouds. This method, called DeepFit, incorporates a neural network to learn point-wise weights for weighted least squares polynomial surface ...
2, we propose the DFTr net- work for 6D object pose estimation. The network first extracts appearance features and geometric features from Io ∈ RH×W ×3 and Po ∈ RN×3 by using CNN and point cloud network respectively, where N and (H, W ) d...
These approaches serve to mitigate the influence of cloud cover and terrain variation, thereby enhancing the integrity and accuracy of the data utilized in the analysis. GTWR is an advanced spatial analysis method that effectively addresses the heterogeneity and local spatial correlation in the spatial...
According to these investigations, equally weighted residuals correspond to the normal distances 𝐷2𝑖=𝑣2𝑥𝑖+𝑣2𝑦𝑖+𝑣2𝑧𝑖,Di2=vxi2+vyi2+vzi2, (5) as deviation measures between the observed 3D point cloud and the straight line to be computed. Thus, the objective ...
Our Weighted Graph Algorithm (WGA) for dynamic correlation estimation is also based on a sliding window. As done for method 1, we pick a window of size 15 for illustration. Associated with each time point 𝑡𝑖ti (that is, with each node 𝑛𝑖ni in the WGA graph) is a weight-vec...
Based on correlation analysis, we eliminated some variables because of the multicollinearity problem. For instance, proportion of construction area, population density, and NDVI were significantly collinear; dewpoint temperature, temperature, and daily minimum temperature were highly correlated. After evaluati...
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Relative humidity (RH), wind speed (WS), cloud cover (CC), and the atmospheric density (ρ) for Changzhou were the simultaneously measured meteorological parameters. The sun radiation data, which refer to the impact of the global horizontal irradiance (GHI) on the power of a small-scale ...
Weighted least squares estimation has been proposed and discussed in the literature, including the famous Huber’s M-estimators which, however, can have the lowest breakdown point if the derivative of the weight (or loss) function is non-decreasing; see [9] (p. 13) or [10,11]. For more...