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A Hierarchical Segmentation Approach with Convolution-Recursive Deep Learning for 3D Multi-Object Recognition under Partial Occlusion Conditions.
Somar Boubou
Tatsuo Narikiyo
Michihiro Kawanishi
Published in:
MVA (2019)
Keyphrases
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deep learning
partial occlusion
hierarchical segmentation
object class
object recognition
unsupervised learning
coarse to fine
image database
object detection
mean shift
machine learning
object tracking
visual tracking
lighting conditions
computer vision
mental models
image processing
d objects
image features
feature extraction
image sequences
ground truth
training data