MFOC-CliqueNet: A CliqueNet-Based Optimal Combination of Multidimensional Features Classification Method for Large-Scale Laser Point Clouds

<div>MFOC-CliqueNet: a large-scene 3D point cloud classification architecture based on optimal combination of multidimensional features. i = B, C, D in Xi, respectively, represent two-dimensional projection surfaces XOY, YOZ, XOZ; {XD, XC, XB} are the optimal arrangement and combination of two-dimensional features. The MFOC represents the optimal combination of multidimensional features.</div>

Computational Intelligence and Neuroscience

fig1

Figure 1

Figure 1: MFOC-CliqueNet: A CliqueNet-Based Optimal Combination of Multidimensional Features Classification Method for Large-Scale Laser Point Clouds 

Figure 1 | MFOC-CliqueNet: A CliqueNet-Based Optimal Combination of Multidimensional Features Classification Method for Large-Scale Laser Point Clouds 