3D occluded object visualization by using integral imaging and semantic segmentation
Author:
Affiliation:
1. Kyushu Institute of Technology,dept. of Computer Science and Networks,Iizuka City,Fukuoka,Japan
2. School of ICT, Robotics, and Mechanical Engineering, IITC Hankyong National University Anseong,Kyonggi-do,Republic of Korea
Funder
JSPS
NRF
National Research Foundation of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9952188/9952355/09952712.pdf?arnumber=9952712
Reference22 articles.
1. A survey on deep learning techniques for image and video semantic segmentation
2. MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
3. Panoptic Segmentation
4. Pyramid Scene Parsing Network
5. Going deeper with convolutions
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2. Photon-Counting Integral Imaging Using Bayesian Estimation with Depth Camera Information;2023 23rd International Conference on Control, Automation and Systems (ICCAS);2023-10-17
3. A Study on Occlusion Removal Technology Using Integral Imaging with Semantic Segmentation and Predictive Labeling;2023 23rd International Conference on Control, Automation and Systems (ICCAS);2023-10-17
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