Researching | Real-time automatic image cropping based on portrait detection

Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 5, 617(2023)

Real-time automatic image cropping based on portrait detection

Yu-hang WU¹, Shan-ling LIN^1,3、*, Zhi-xian LIN^1,2,3, and Tai-liang GUO^2,3

Author Affiliations

¹School of Advanced Manufacturing，Fuzhou University，Quanzhou 362200，China

²School of Physics and Information Engineering，Fuzhou University，Fuzhou 350116，China

³China Fujian Photoelectric Information Science and Technology Innovation Laboratory，Fuzhou 350116，China

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References(12)

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[2] STENTIFORD F. Attention based auto image cropping[C], 140-148(2007).

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[4] LU X, LIN Z, JIN H L et al. RAPID: rating pictorial aesthetics using deep learning[C], 457-466(2014).

[5] LI D B, WU H K, ZHANG J G et al. A2-RL: aesthetics aware reinforcement learning for image cropping[C], 8193-8201(2018).

[6] CHEN Y L, KLOPP J, SUN M et al. Learning to compose with professional photographs on the web[C], 37-45(2017).

[7] WEI Z J, ZHANG J M, SHEN X H et al. Good view hunting: learning photo composition from dense view pairs[C], 5437-5446(2018).

[8] YAN B, FAN P, LEI X Y et al. A real-time apple targets detection method for picking robot based on improved YOLOv5[J]. Remote Sensing, 13, 1619(2021).

[9] DUAN K W, BAI S, XIE L X et al. CenterNet: keypoint triplets for object detection[C], 6568-6577(2019).

[10] XU Z H, YUAN X Y, ZHOU T K et al. A multichannel optical computing architecture for advanced machine vision[J]. Light: Science & Applications, 11, 255(2022).

[11] WANG J L, FU X S, HUANG Z C et al. Multi-type cooperative targets detection using improved YOLOv2 convolutional neural network[J]. Optics and Precision Engineering, 28, 251-260(2020).

[12] SANDLER M, HOWARD A, ZHU M L et al. MobilenetV2: inverted residuals and linear bottlenecks[C], 4510-4520(2018).

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Yu-hang WU, Shan-ling LIN, Zhi-xian LIN, Tai-liang GUO. Real-time automatic image cropping based on portrait detection[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(5): 617

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Paper Information

Category: Research Articles

Received: Aug. 1, 2022

Accepted: --

Published Online: Jul. 4, 2023

The Author Email: Shan-ling LIN (sllin@fzu.edu.cn)

DOI:10.37188/CJLCD.2022-0258

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