Conditional Random Fields (CRFs) and Voxel on LIDAR
I found some interesting papers using over-segmented data (voxel) concept and CRF with terrestrial LIDAR point cloud.
Volumetric Visualization of Multiple-return Lidar Data: Using Voxels by Jason Stoker [link]
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data by D. Anguelov, B. Taskar, V. Chatalbashev, D. Koller, D. Gupta, G. Heitz, and A. Ng. (CVPR2005)
Conditional Random Field for 3D point clouds with Adaptive Data Reduction by E. H. Lim and D. Suter (CW2007)
Multi-scale Conditional Random Fields for Over-segmented Irregular 3D Point Clouds Classification by E. H. Lim and D. Suter (CVPR2008)
3D terrestrial LIDAR classifications with super-voxels and multi-scale Conditional Random Fields by E. H. Lim and D. Suter (CVPR2008)
Shape-based Recognition of 3D Point Clouds in Urban Environments by Aleksey Golovinskiy et al (ICCV2009)