A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field.
Weixin HuangHuawei LiangLinglong LinZhiling WangShaobo WangBiao YuRunxin NiuPublished in: CoRR (2020)
Keyphrases
- coarse to fine
- markov random field
- point cloud
- image segmentation
- multiscale
- mrf model
- energy function
- mrf models
- deformable surface model
- textured images
- multiresolution
- label field
- graph cuts
- optical flow estimation
- belief propagation
- higher order
- energy minimization
- pairwise
- image registration
- structure from motion
- random fields
- surface reconstruction
- segmentation algorithm
- point sets
- maximum a posteriori
- conditional random fields
- object detection
- shape prior
- texture segmentation
- object segmentation
- gibbs energy
- region growing
- level set
- unsupervised segmentation
- active contours
- bayesian estimation
- image analysis
- dynamic programming
- d objects
- shape model
- point correspondences
- medical images
- multi class
- machine learning