FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking

FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking

Instance segmentation is an important pre-processing task in numerous real-world applications, such as robotics, autonomous vehicles, and human–computer interaction. Compared with the rapid development of deep learning for two-dimensional (2D) image tasks, deep learning-based instance segmentation o...

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Bibliographic Details
Main Authors: Arai, S. (Author), Kosuge, K. (Author), Lin, F. (Author), Liu, D. (Author), Xu, Y. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
3D point cloud
3D Point Cloud
article
autonomous vehicle
Autonomous Vehicles
Bin pickings
Bin-picking
clustering algorithm
Clustering algorithms
Clusterings
deep learning
Deep learning
Deep Learning
embedding
Geometric center
human
human computer interaction
Human computer interaction
Human robot interaction
Instance segmentaia
Instance segmentaion
Point-clouds
Pre-processing
Real-world
robotics
Robotics
Semantic Segmentation
Semantics
three-dimensional imaging
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