汪凯巍的个人简介
汪凯巍，男，1979年11月生于河南省兰考县，浙江大学光电信息工程学系副教授。2009年2月至今，浙江大学光电系，光学工程研究所 教授，博士生导师。
教学工作
一、承担课程
连续多年承担浙江大学光电系本科生必修课《光电检测技术及系统》专业课程，历次学生评价均为优。
二. 承担及参与教学项目
1. 《光电应用实验》课程建设, 排名1/5， 2012光电系教改项目
2. “教学模式和评价模式转变的改革与实践”,2012浙江大学本科教学方法改革研究重点项目，排名3/6
3. 体现综合素质培养的多元化教学与考核方式改革 ，排名2/6，2013浙江大学教改项目
4. 制订客观合理的“学评教” 和“教学评估”评价指标和实施办法,排名1/4，2014光电系教改项目
三、成果和奖励
1. 浙江省高校第八届青年教师教学技能竞赛，特等奖
2. 2013年，浙江大学青年教师教学技能竞赛，一等奖
1.“三结合、四平台”的光电专业人才 综合实践能力培养探索与实践，浙江省教学成果奖浙江省第七届高等教育教学成果一等奖（排名8/10）
2. 光电系专业课程群“三个转变”教学方法改革实践与成效，浙江大学校级教学成果一等奖（排名3/8）。
3.浙江大学2013年度优质教学奖二等奖。
研究与成果
障碍物检测
基于红外双目相机，在自然光和结构光的辅助下，进行大尺度立体匹配，获取稠密深度图。利用均值漂移算法，计算最近若干个障碍物的距离、方向和尺寸，并映射到立体声音，辅助视障人士的通行。
地面检测
基于红外双目相机，在自然光和结构光的辅助下，进行大尺度立体匹配和彩色图引导滤波，补全深度图。利用随机采样一致性、表面法向量估计和种子区域生长等算法检出地面区域，并映射到立体声音，辅助视障人士的通行。
纸币识别
纸币识别是根据视障人士需求调研所提供的便利生活的功能设计。现有的纸币识别方法是根据RGB-D相机进行深度筛选，用分类器框出检测到的纸币区域，对区域进行SURF特征点检测判断是否存在纸币以及纸币面值。该方法可以针对复杂环境实时提取纸币区域并给出纸币面值，具有较好的鲁棒性。
红绿灯检测
基于颜色提取和机器学习的人行道交通灯检测算法，能够实时准确地检测到交通灯在图像中的位置，并给出交通灯的状态。框选交通灯的对应颜色矩形，即为检测结果。
斑马线检测
安全地过马路是盲人群体日常出行的迫切需要。基于条带提取和聚类的人行横道检测算法，被用于盲人在交通路口寻找和定位人行横道。人行横道的位置和方向被识别出来，并转换为提示信息输出给使用者。
人脸识别
盲人智能视觉辅助中的人脸识别，旨在帮助视障人士感知和识别日常生活场景中出现的朋友，亲人，陌生人等。人脸识别系统运用彩色深度信息融合，目标跟踪，神经网络等技术，可以实现：在视障用户使用智能视觉辅助设备的过程中，人脸识别系统逐渐采集并学习用户常遇见的人脸，当识别系统达到足够的训练程度时对场景中出现的人脸进行识别，将识别结果以特定的交互方式传递给视障用户。
可通行区域检测
基于可见光双目相机，进行半全局立体匹配和彩色图引导滤波，补全深度图。利用动态规划算法检出随机占据栅格下的可通行区域，利用样条曲面拟合地面，利用棒状像素表示障碍物，并映射到立体声音，辅助视障人士的通行。
水坑检测
基于偏振可见光双目相机，进行半全局立体匹配和彩色图引导滤波，补全深度图。利用动态规划算法，融合偏振-彩色-深度信息，检出可通行区域与地面水坑区域，并映射到立体声音，辅助视障人士的出行。
楼梯检测
基于红外双目相机，在自然光和结构光的辅助下，进行大尺度立体匹配，获取稠密深度图。利用表面法向量估计、平面聚类和直方图分割等算法，检出楼梯区域，并输出最近若干级台阶的距离、高度和方向。
出版著作
[1]. H. Chen, *K. Wang, W. Hu, L. Fei (2018). SORB: improving ORB feature matching using semantic segmentation. Accepted by SPIE Security + Defence, Berlin (Germany), September 2018
[2]. Z. Huang, *K. Wang, K. Yang, R. Cheng, J. Bai (2018) Glass detection and recognition based on the fusion of ultrasonic sensor and RGB-D sensor for the visually impaired. Accepted by SPIE Security + Defence, Berlin (Germany), September 2018
[3]. L. Fei, *K. Wang, H. Chen, S. Lin (2018). Optical character detection and recognition for visually impaired people in certain scenarios. Accepted by SPIE Security + Defence, Berlin (Germany), September 2018
[4]. W. Hu, *K. Wang, H. Chen (2018). A robust localization approach in relatively fixed environment using multisensor fusion. Accepted by SPIE Security + Defence, Berlin (Germany), September 2018
[5]. K. Yang, *K. Wang, L. M. Bergasa, E. Romera, W. Hu, D. Sun, J. Sun, R. Cheng, T. Chen, E. López. Unifying Terrain Awareness for the Visually Impaired through Real-Time Semantic Segmentation. Sensors. 2018 Apr 18; 18(5):1506. Belongs to the Special Issue Wearable Smart Devices.
[6]. H. Chen, *K. Wang, K. Yang (2018). Improving RealSense by Fusing Color Stereo Vision and Infrared Stereo Vision for the Visually Impaired. Accepted by 2nd International Conference on Frontiers of Image Processing (ICFIP), Bacelona (Spain), March 2018
[7]. S. Lin, *K. Wang, K. Yang, R. Cheng (2018). KrNet: Kinetic Real-time Convolutional Neural Network for Navigational Assistance. Accepted by 16th International Conference on Computers Helping People with Special Needs (ICCHP), Linz (Austria), July 2018.
[8]. R. Cheng, *K. Wang, S. Lin (2018). Intersection Navigation for People with Visual Impairment. Accepted by 16th International Conference on Computers Helping People with Special Needs (ICCHP), Linz (Austria), July 2018.
[9]. R. Cheng, *K. Wang, L. Lin, K. Yang (2018). Visual Localization of Key Positions for Visual Impaired People. Accepted by 24th International Conference on Pattern Recognition (ICPR), Beijing (China), August 2018.
[10]. N. Long, *K. Wang, R. Cheng, K. Yang and J. Bai. (2018). Millimeter wave Radar and RGB-Depth sensors for the visually impaired. Accepted by SPIE Security + Defence, Berlin (Germany), September 2018.
[11]. J. Wang, K. Yang, W. Hu, *K. Wang (2018). An environmental perception and navigational assistance system for visually impaired persons based on semantic stixels and sound interaction. Submitted to IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki (Japan), October 2018.
[12]. R Cheng , * K Wang , K Yang , N Long , J Bai (2017). Real-time pedestrian crossing lights detection algorithm for the visually impaired. Multimedia Tools & Applications , 2017 (10) :1-21
[13]. Yang, K., *Wang, K., Zhao, X., Cheng, R., Bai, J., Yang, Y., & Liu, D. (2017). IR stereo RealSense: Decreasing minimum range of navigational assistance for visually impaired individuals. Journal of Ambient Intelligence and Smart Environments, 9(6), 743-755.
[14]. Ruiqi Cheng, *Kaiwei Wang, Kailun Yang, Ningbo Long, Weijian Hu, Hao Chen, Jian Bai, Dong Liu (2017). Crosswalk navigation for people with visual impairments on a wearable device. J. Electron. Imaging 26(5), 053025 (2017), doi: 10.1117/1.JEI.26.5.053025.
[15]. Yang, K., *Wang, K., Cheng, R., Hu, W., Huang, X., & Bai, J. (2017). Detecting Traversable Area and Water Hazards for the Visually Impaired with a pRGB-D Sensor. Sensors (Basel, Switzerland), 17(8).
[16]. Huang, X., Luo, Y., Bai, J., Cheng, R., He, * K., Wang, K., Liu, Q., Luo, Y., Du, J. (2017). Polarimetric target depth sensing in ambient illumination based on polarization-coded structured light. Applied Optics,56(27), 7741-7748.
[17]. Lu, Q., Bai, J., *Wang, K., Jiao, X., Han, D., & Chen, P., et al. (2017). Determination of thermally induced effects and design guidelines of optomechanical accelerometers. Measurement Science & Technology.
[18]. Xiao Huang,Jian Bai, *Kaiwei Wang,Qun liu,Yujie Luo & Kailun Yang.(2017). Target enhanced 3d reconstruction based on polarization-coded structured light. Optics Express, 25(2), 1173.
[19]. Kailun Yang, *Kaiwei Wang, Weijian Hu&Jian Bai. (2016). Expanding the Detection of Traversable Area with RealSense for the Visually Impaired. [J].Sensors, 2016, 16(11): 1954.
[20]. Xiangdong Zhao, *Kaiwei Wang,Kailun Yang&Weijian Hu.(2016). Unconstrained face detection and recognition based on RGB-D camera for the visually impaired. Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 1022509.
[21]. Ruiqi Cheng, *Kaiwei Wang, Kailun Yang & Xiangdong Zhao. (2015). A ground and obstacle detection algorithm for the visually impaired. Iet International Conference on Biomedical Image and Signal Processing. IET.
[22]. Kailun Yang, *Kaiwei Wang, Ruiqi Cheng & Xunmin Zhu. (2015). A new approach of point cloud processing and scene segmentation for guiding the visually impaired. Iet International Conference on Biomedical Image and Signal Processing. IET.
[23]. Yang S., Jiang X., Maxwell G. and Wang K., An integrated optical coupler used in a fibre interferometry system for on-line surface measurements. Optics Communications, 281 (5). pp. 1099-1107. ISSN 0030-4018
[24]. Wang K., Martin H. and Jiang X., Actively stabilized optical fiber interferometry technique for online/in-process surface measurement. Review of scientific instruments, 79 (2). ISSN 0034-6748
[25]. Martin H., Wang K. and Jiang X., Vibration compensating beam scanning interferometer for surface measurement. Applied Optics, 47 (7). pp. 888-893. ISSN 0003-6935
[26]. Jiang X., Wang K., Martin H. Near common-path optical fibre interferometer for potentially fast real-time micro/nano scale surface measurement, Optics Letters, 31 (24): 3603-3605
[27]. Wang K., Zeng L., Two-dimensional surface-profile imaging technique based on double-grating frequency shifter. Appl. Opt., 2005, 44(22): 4625-4630
[28]. Wang K., Zeng L., Heterodyne Fourier transform spectroscopy based on double-grating frequency shifter. Rev. Sci. Instrum., 2005, 76(6), Art. No. 063108
[29]. Wang, K., Zeng L., Double-grating frequency shifter for low-coherence heterodyne interferometry, Opt. Commun., 2005, 251(1-3):1-5
[30]. Wang K., Cai Z., Zeng L., A two-Dimensional surface-profile imaging technique based on heterodyne interferometer. Key Engineering Materials. 2005, 295-296: 477-482
[31]. Zeng L., Wang K., Invention patent, Achromatic Frequency Shifter for Broadband Light Source. Patent number: 03104769.6, 2005
[32]. Wang K., Zeng L, Yin C., Influence of the incident wave-front on intensity distribution of the nondiffracting beam used in large-scale measurement. Opt. Commun. 2003, 216: 99-103
[33]. Wang K., Jiang X., Martin H., Blunt L., Light-beam scanning interferometry for on-line ultra precision surface measurement, Light-beam scanning interferometry for on-line ultra precision surface measurement, Proceedings of the 7th euspen International Conference, 2007, Vol.1, pp302-305
[34]. Jiang X. Wang K., Actively stabilised optical device for potential on-line assessment of surfaces in ultra precision manufacturing, accepted by 11th International Conference on Metrology and Properties of Engineering Surfaces.Cardiff, Wales, 25th - 28th June2007
