Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions.
Matheus GadelhaAruni RoyChowdhuryGopal SharmaEvangelos KalogerakisLiangliang CaoErik G. Learned-MillerRui WangSubhransu MajiPublished in: ECCV (10) (2020)
Keyphrases
- efficient learning
- point cloud
- surface reconstruction
- structure from motion
- point sets
- point cloud data
- laser scanner
- multi label
- multi view reconstruction
- stereo camera
- learning algorithm
- convex hull
- normal vectors
- viewpoint
- pattern languages
- structured prediction
- multi view stereo
- query language
- feature vectors
- membership queries
- three dimensional