End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery.
Ali HatamizadehDebleena SenguptaDemetri TerzopoulosPublished in: ECCV (12) (2020)
Keyphrases
- end to end
- aerial imagery
- active contour model
- aerial images
- active contours
- image segmentation
- elevation data
- level set method
- segmentation method
- curve evolution
- lidar data
- region growing
- energy minimization
- man made structures
- shape prior
- energy functional
- gvf snake
- urban areas
- level set
- watershed segmentation
- gradient vector flow
- building facades
- multiscale
- graph cuts
- energy function
- markov random field
- global minimizers
- image analysis
- segmentation algorithm
- deformable models
- object segmentation
- computer vision
- region merging
- geometric active contours
- segmented images
- shape model
- motion estimation
- image processing