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The Imaging Science Journal Volume 62, 2014 - Issue 5
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Research Paper

New anti-blur and illumination-robust combined invariant for stereo vision in human belly reconstruction

H. LiuCollege of Information Sciences and TechnologyDonghua University, Shanghai201620, China;Collgeg of Electronic and Information EngineeringJinggangshan University, Ji’an, Jiangxi343009, China
,
K. R. HaoCollege of Information Sciences and TechnologyDonghua University, Shanghai201620, China;Engineering Research Center of Digitized Textile & Fashion TechnologyMinistry of Education, Donghua University, Shanghai201620, ChinaCorrespondence[email protected]
&
Y. S. DingCollege of Information Sciences and TechnologyDonghua University, Shanghai201620, China;Engineering Research Center of Digitized Textile & Fashion TechnologyMinistry of Education, Donghua University, Shanghai201620, China
Pages 251-264 | Received 04 Jan 2013, Accepted 31 Jul 2013, Published online: 06 Jan 2014

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Read on this site (1)

Jian Liu, Kuangrong Hao, Yongsheng Ding, Shiyu Yang & Lei Gao. (2017) Moving human tracking across multi-camera based on artificial immune random forest and improved colour-texture feature fusion. The Imaging Science Journal 65:4, pages 239-251.
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Articles from other publishers (3)

Faleh Alqahtani, Jasmine Banks, Vinod Chandran & Jinglan Zhang. (2020) 3D Face Tracking Using Stereo Cameras: A Review. IEEE Access 8, pages 94373-94393.
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Genfu Xiao, Huan Liu, Chunjuan Ouyang & Yanling Jin. (2018) Multifeature fusion and mutual co-operative particle swarm optimization in three-dimensional reconstruction of belly. Journal of Electronic Imaging 28:02, pages 1.
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Huan Liu, Kuangrong Hao, Yongsheng Ding & Chunjuan Ouyang. (2015) Stereo Matching Based on Immune Neural Network in Abdomen Reconstruction. Mathematical Problems in Engineering 2015, pages 1-15.
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