EE5806

Learning is a game and group project is a good learning game.

The objective of this course project is to encourage students to develop, implement and test/demonstrate image processing algorithms.

Students, working as groups of 6 or 7 students, will be required to complete an image processing related project during the semester. The project can be analysis/evaluation/comparison of existing techniques through a literature survey and then perform some experimental evaluations or implement a practical application.

Each group will choose or propose a topic of interest in the topics of image processing. Students are required to give a 15 minutes oral presentation of their selected topic and written project proposal and final report in a two-column conference paper format.

• Proposal - Due date 30th Sep 2019 (Week 5)
  • This is a written project proposal in MS-Words format.
  • Submit by email to cityuee5806@gmail.com
  • Proposal must contain:
    • Title
    • Student Name, Student ID and Email Address of each student
    • Summary with goals of the project in about 300 words. The detail description of the the project and the work to be carried out in about 2000 words.
    • References
    • 3 to 4 pages in single column format
  
  
• Oral Presentation, Final Report and Source Code
  • Students are required to conduct survey, evaluation, comparision, or application implementation according to their proposals
  • Present and demonstrate their finings and results in a 15-mintues oral presentation be to held on weeks 12 and 13.
  • Write a final report of the project with format similar to a research conferenence paper in two-column format with 6 to 12 pages. - Due date 2nd Dec. 2019 (Week 14)
  • The IEEE conference paper templates are avialble here and here is the A4 Template
  • Students are also required to submit the source code and PPT for assessement.
  • All the PPT, Final Report and Source Code are required to submit to course gmail account at cityuee5806@gmail.com

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Project Directions

• Your passion is your compass.
• Something you are interested in or that may help your work or research
• Don’t need to develop something original, but should
  • Read and describe relevant papers in literature
  • Do some applications of relevant techniques
• Could investigate something we have covered briefly, or that is related to some topics in the course.
• Recommended Technical Lectures for Project Ideas
  • Upscaling Images with Neural Networks
  • High dynamic range (HDR) Photography in Microsoft Excel?!
  • Image Colorization With Deep Learning and Classification | Two Minute Papers #71
  • Two Minute Papers in Youtube

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Presentation Schedule:

Section A (Week 12)

Group 1 : Image Style-Transfer using Neural Networks

• LUO Yi, ZHEN Ziai, GAO Yuxiang, HUANG Xiaomin, ZHAO Haonan, QIN Guangyao, ZHOU Yujun

Group 2 : Dressing Style Translation

• TANG Shoucheng, YE Yunyi, CHEN Xiaoqin,CAO Xi, WANG Tianyu, LI Chengyan, YANG Liang

Group 3 : Virtual Makeup Using Image Processing Methods

• Chen Yun, Li Huimin, Liu Xiaoxuan, Wang Shouyao, Wen Yani, Xue Mingxin

Group 4 : Neural Style transfer based on GAN

• Luo Yingrong, Ip Ka Lee, Fang Yuxin, Huang Yuebin, Wei Zhirui, TAO Xinyu, Xu Xianshan

Group 5 : Real-time Object Detection: Implementation of Intelligent Application Scenarios

• LING Rui, ZHAN Zhihao, YU Peng, LIU Lishuang, LI Hongming, WANG Han, LIU Weidong

Group 6 : Correlation Filters for Visual tracking

• WANG Ziming, LI Yu, CHEN Yuanliang, MAO Shiyi, TAO Zongliang

Group 7 : My different life in comics – Generating virtual image based on GAN

• Shi Hongyi, Shi Xintong, Wang Yijia, Huang Baodong, Lin Tingyu, Wang Chongrong, Bie Xuanran

Section B (Week 13)

Group 8 : Transform pictures into anime style Image processing based on Python

• ZHANG Xiao, ZHANG Mengfan, SHEN Jiangnan, LI Mei, LIU Jian, LIU Shuang

Group 9 : Lane Detection

• Lin Yun, Cao zhipeng, LI Dongyuan, Shui Wenzhen, Chen Zhiyuan, Zhaoyuqian, Ni Huiyang

Group 10 : Implementation of human facial expression classification using transfer learning approach

• Ali Raza Shahid, CHEN Zhen, KOU Weixuan, Lau Kin Wai, WANG Ziyue, YU Wing Yin, ZHAO Yuan, ZHU Mengxu

Group 11 : make images look like a cartoon image

• GUO Zhiqi, SHI Lanqi, LIANG Zhixiang, LING Yixuan, REN Jiuqi, LIU Guoyang, CHAN Pak Shing

Group 12 : Digits Recognition

• LIU Xin, GAO Yingqiao, LEI Ziang, JIA Zhongyao. PANG Yu, XU Mingyu

Group 13 : Efficient Algorithm for Video Cartoonization

• Liang Zuodong, Niu Yuan, CHEN Jinghao, Ji Yuanfeng, WANG Mengjie, LIU Guanxuan

Group 14 : Design and Implementation of Moving Target Tracking Algorithm

• LI Bingran, Luo Xinying, Tan haoyun, Yu Zhanbo, Yue zhipeng, Zhuang Wanying

Group 15 : Image style transformation based on deep learning

• Huang Shumin, Li Shenjie, Li Wanmeng, Liu xinghan, Song Shucheng, Zeng Jin