A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field.
Weixin HuangHuawei LiangLinglong LinZhiling WangShaobo WangBiao YuRunxin NiuPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- markov random field
- coarse to fine
- point cloud
- image segmentation
- multiscale
- mrf model
- energy function
- textured images
- deformable surface model
- mrf models
- graph cuts
- optical flow estimation
- multiresolution
- label field
- maximum a posteriori
- object detection
- belief propagation
- random fields
- higher order
- pairwise
- energy minimization
- unsupervised segmentation
- surface reconstruction
- segmentation algorithm
- object segmentation
- shape prior
- structure from motion
- image registration
- segmentation method
- point sets
- region growing
- gibbs energy
- medical images
- texture segmentation
- level set
- conditional random fields
- similarity measure
- dynamic programming
- three dimensional
- motion segmentation
- superpixels
- motion estimation
- high quality