研究领域
计算摄像、光场成像与分析、机器视觉检测、医学图像分析与识别、人工智能
主持项目：
国家自然科学基金：
1. 计算摄像中多视场光场高精度成像方法研究，国家自然科学基金面上项目，85万，2015.1-2018.12
省部级项目：
1. 多视点高分辨率光场成像分析技术研究，广东省自然科学基金，10万，2015.8-2018.8 （已结题）
2. 多视场光场显微混合成像系统关键技术研究，中国博士后科学基金(特别资助)，15万，2015.8.2-2016.8 （已结题）
3. 计算摄像多视场光场采集分析关键技术研究，中国博士后科学基金(一等)，8万，2014.3-2015.7 （已结题）
市区级项目：
1. 高精度计算光场3D显微成像系统研究，深圳市基础研究项目，50万，2019.1-2020.12
2. 深圳市海外高层次人才“孔雀计划”，高端人才科研启动项目，300万，2018-2021
3. 基于混合型视网膜成像技术的健康分析研究，深圳市基础研究学科布局项目，200万，2016.6-2019.5
4. 面向私人影院的3D显示关键技术，深圳市南山区核心技术突破项目，90万，2016.1-2018.1 （已结题）
5. 计算光场高精度成像方法研究，深圳市基础研究项目，30万，2014.10-2016.10 （已结题）
其他及参与项目：
1. 基于光场的真三维视频采集与生成，国家863计划项目，2015.6-2018.6 （已结题）
代表专利：1. 张大鹏 王兴政, 人体数字舌图像专用颜色校正色卡及其制作方法，中国国家发明专利，102509318A，公开日：2012.6.20
2. 王兴政 许晨雪 张永兵 王好谦 戴琼海，基于光场的高光图像修复方法及装置，中国国家发明专利，105023249A，公开日：2015.11.4
3. 王兴政 许晨雪 王好谦 张永兵 戴琼海，一种基于光场的图像深度估计方法，中国国家发明专利，105551050A，公开日：2016.5.4
4. 王兴政 闫冰 张永兵 王好谦 戴琼海，一种光场图像的显著性检测方法，中国国家发明专利，105701813A，公开日：2016.6.22
5. 王兴政 刘帝 王好谦 张永兵 戴琼海，一种光场重聚焦方法，中国国家发明专利，105704371A，公开日：2016.6.22
6. 王好谦 袁新 王兴政 张永兵 邵航 戴琼海，一种去除图像中阴霾退化的方法，中国国家发明专利，105741248A，公开日：2016.7.6
7. 王兴政 吴驹东 张永兵 王好谦 戴琼海，一种基于混合成像系统的实现光场图像超分辨的方法，中国国家发明专利，105844589A，公开日：2016.8.10
近期论文
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代表期刊论文：
1.Wang Haoqian, Yan Bing, Wang Xingzheng*, et al. Accurate saliency detection based on depth feature of 3D images[J]. Multimedia Tools and Applications, 2017: 1-18.
2.Yongbing Zhang, Huijin Lv, Yebin Liu, Haoqian Wang, Xingzheng Wang, Qian Huang, Xinguang Xiang, Qionghai Dai. Light-Field Depth Estimation via Epipolar Plane Image Analysis and Locally Linear Embedding[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(4): 739-747.
3.Xingzheng Wang, Yushi Tian, Haoqian Wang, Yongbing Zhang, “Stereo matching by filtering-based disparity propagation”, PLOS ONE, DOI:10.1371/journal.pone.0162939, Sep 14, 2016
4.Xingzheng Wang, Haoqian Wang, Jiangfeng Yang, Yongbing Zhang, “A New Method for Nonlocal Means Image Denoising Using Multiple Image”, PLOS ONE, DOI:10.1371/journal.pone.0158664, July 26, 2016.
5.Haoqian Wang, Chenxue Xu, Xingzheng Wang*, Yongbing Zhang, Bo Peng, “Light Field Imaging Based Accurate Image Specular Highlight Removal”, PLOS ONE, DOI:10.1371/journal.pone.0156173, June 2, 2016.
6.Bo Peng, Xingzheng Wang*, Yan Yang, "Region based exemplar references for image segmentation evaluation." IEEE Signal processing letters. vol. 23, no. 4, pp. 459-462, April 2016.
7.Zhenhua Guo, Xingzheng Wang, Jie Zhou, Jane You, "Robust texture image representation by scale selective local binary patterns (SSLBP) ", IEEE Transactions on Image Processing, vol. 25, no. 2, pp. 687-699, February 2016
8.Xingzheng Wang, Bob Zhang, Zhimin Yang, Haoqian Wang, and David Zhang*, "Statistical Analysis of Tongue Images for Feature Extraction and Diagnostics," IEEE Transactions on Image Processing, vol. 22, pp. 5336-5347, 2013
9.Xingzheng Wang and David Zhang*, "A high quality color imaging system for computerized tongue image analysis," Expert Systems with Applications, vol. 40, pp. 5854-5866, 2013
10.Xingzheng Wang, Bob Zhang, Zhenhua Guo, and David Zhang*, "Facial image medical analysis system using quantitative chromatic feature," Expert Systems with Applications, vol. 40, pp. 3738-3746, 2013
11.Xingzheng Wang and David Zhang*, "A New Tongue Colorchecker Design by Space Representation for Precise Correction," IEEE Transactions on Information Technology in Biomedicine, vol. 17, pp. 381-391, 2013
12.Bob Zhang, Xingzheng Wang, Jane You, and David Zhang*, "Tongue Color Analysis for Medical Application," Evidence-Based Complementary and Alternative Medicine, vol. 2013, 2013
13.Bob Zhang, Xingzheng Wang, Fakhri Karray, Zhimin Yang, and David Zhang*, "Computerized facial diagnosis using both color and texture features," Information Sciences, vol. 221, pp. 49-59, 2013
代表会议论文：
1.Cui Yuhao, Wang Haoqian, Wang Xingzheng, Learning Temporal Context for Correlation Tracking with Scale Estimation[C]//Pacific Rim Conference on Multimedia. Springer, Cham, 2017: 754-763
2.Bing Yan, Haoqian Wang, Xingzheng Wang, Yongbing Zhang, An accurate saliency prediction method based on generative adversarial networks, 2017 International Conference on Image Processing (ICIP2017), 2017: 2339-2343.
3.Bing Yan, Haoqian Wang, Xingzheng Wang, “Depth Feature Based Accurate Saliency Detection for 3D Images”, 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, 2016, pp. 173-176.
4.Rongqun Lin, Yongbing Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai, “Deep Convolutional Neural Network for Decompressed Video Enhancement”, 2016 Data Compression Conference (DCC), Snowbird, UT, USA, 29 Mar-01 Apr, 2016, pp. 617-617.
5.Tao Shen, Yulun Zhang, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, and Qionghai Dai, “Decompressed Video Enhancement via Accurate Regression Prior”, Visual Communications and Image Processing Conference, 2016 IEEE (VCIP 2016). 2015.11.27-30
6.Chenxue Xu, Xingzheng Wang*, Haoqian Wang, Yongbing Zhang, “Accurate Image Specular Highlight Removal Based on Light Field Imaging”, Visual Communications and Image Processing Conference, 2015 IEEE (VCIP 2015), 2015.12.13-16
7.Judong Wu, Xingzheng Wang*, Haoqian Wang, Yongbing Zhang, “A Novel Light Field Super-Resolution Framework Based on Hybrid Imaging System”, Visual Communications and Image Processing Conference, 2015 IEEE (VCIP 2015). 2015.12.13-16
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