A New Volumetric CNN for 3D Object Classification Based on Joint Multiscale Feature and Subvolume Supervised Learning Approaches.
A. A. M. MuzahidWanggen WanLi HouPublished in: Comput. Intell. Neurosci. (2020)
Keyphrases
- d objects
- supervised learning
- multiscale
- viewpoint
- feature vectors
- multi view
- three dimensional
- feature set
- object features
- range data
- pose estimation
- multiple views
- object recognition
- machine learning
- image features
- geometric models
- shape descriptors
- semi supervised
- cad models
- image processing
- line drawings
- decision trees
- d mesh
- learning algorithm
- pairwise
- training set
- feature space
- training data
- image sequences
- image segmentation
- image representation
- text classification
- image classification
- active learning
- object model
- real world objects
- point distribution
- physically plausible