Pinned Repositories
ENPM673-Perception-for-Autonomous-Robots
This class teaches Image Processing and Computer Vision techniques for Mobile Robots. The class covers three topics: Image Processing (Image Enhancement, Filtering, Advanced Edge and Texture), 3D Vision (3D Geometry from Multiple view geometry, Motion Processing and Stereo) and an Introduction to Image Segmentation and Object Recognition. Students will be introduced to a number of existing software toolboxes from Vision and Robotics, and will implement a number of smaller projects in Matlab.
Face-Recognition-Application
Face Recognition application that uses Principal Component Analysis (PCA) to find closest matching image
FRGM
a functional representation for graph matching
FYP-Automated-License-Plate-Recognition
MATLAB - Automated License Plate Recognition System using a Neural Network and the Harris Corner detector algorithm
github-slideshow
A robot powered training repository :robot:
Hand-Gesture-Recognition
Digital image processing helps replace several mundane activities. My project in final year was ‘Application Control using Hand Gesture Recognition From 3-Dimensional Images’. We worked extensively on processing a 3-D image to recognize the encrypted gesture, with the added 3rd dimension for more number of gestures. We started with extensive image segmentation to suppress background, handle dynamic lighting conditions and extract only portion of hand from the 3-D image. A tedious task, we researched many papers on IEEE and books on Image processing, to come-up with a complex code logic involving a combination of three different segmentation techniques involving RGB, YCbCr and HSV models. Further, with mathematical calculations involving use of Eigen values and Eigen vectors were derived based on the co-variance matrix, generated as per captured image, we managed to extract maximum information. A Euclidean distance was calculated to denote the deviation of captured image from each set of pre-captured images for all defined gestures. Hectic code optimization helped save precious execution time. The gesture corresponding to minimal Euclidean distance was the identified gesture. This project acquainted me with MATLAB and I learnt about various image enhancement and image segmentation techniques. I presented a paper at IEEE’s International Conference on Convergence of Technology (I2CT), Pune, published in the journal with ISBN “978-1-4799-3759-2”.
License_Plate_Recognition_Digital-image-processing
我们使用传统的数字图像处理的方法进行中国车牌的识别，与我们的深度学习方法进行对比。
Plate-location-and-recognition-based-on-FasterRCNN-and-CNN
电子科技大学，信通学院，综合课程设计，车牌定位识别，附带数据集与训练好的网络
TripletTracking
ECCV 2018 Triplet Loss in Siamese Network for Object Tracking
Wound_Image_Segmentation_by_Markov_Random_Field
Enhanced 18% efficiency of a research project on Wound Image Segmentation using Markov Random Field, Image Processing, Segmentation and Morphology.
cuibeibei2020's Repositories
cuibeibei2020/Plate-location-and-recognition-based-on-FasterRCNN-and-CNN
电子科技大学，信通学院，综合课程设计，车牌定位识别，附带数据集与训练好的网络
cuibeibei2020/Face-Recognition-Application
Face Recognition application that uses Principal Component Analysis (PCA) to find closest matching image
cuibeibei2020/FYP-Automated-License-Plate-Recognition
MATLAB - Automated License Plate Recognition System using a Neural Network and the Harris Corner detector algorithm
cuibeibei2020/github-slideshow
A robot powered training repository :robot:
cuibeibei2020/License_Plate_Recognition_Digital-image-processing
我们使用传统的数字图像处理的方法进行中国车牌的识别，与我们的深度学习方法进行对比。
cuibeibei2020/ENPM673-Perception-for-Autonomous-Robots
This class teaches Image Processing and Computer Vision techniques for Mobile Robots. The class covers three topics: Image Processing (Image Enhancement, Filtering, Advanced Edge and Texture), 3D Vision (3D Geometry from Multiple view geometry, Motion Processing and Stereo) and an Introduction to Image Segmentation and Object Recognition. Students will be introduced to a number of existing software toolboxes from Vision and Robotics, and will implement a number of smaller projects in Matlab.
cuibeibei2020/FRGM
a functional representation for graph matching
cuibeibei2020/Hand-Gesture-Recognition
Digital image processing helps replace several mundane activities. My project in final year was ‘Application Control using Hand Gesture Recognition From 3-Dimensional Images’. We worked extensively on processing a 3-D image to recognize the encrypted gesture, with the added 3rd dimension for more number of gestures. We started with extensive image segmentation to suppress background, handle dynamic lighting conditions and extract only portion of hand from the 3-D image. A tedious task, we researched many papers on IEEE and books on Image processing, to come-up with a complex code logic involving a combination of three different segmentation techniques involving RGB, YCbCr and HSV models. Further, with mathematical calculations involving use of Eigen values and Eigen vectors were derived based on the co-variance matrix, generated as per captured image, we managed to extract maximum information. A Euclidean distance was calculated to denote the deviation of captured image from each set of pre-captured images for all defined gestures. Hectic code optimization helped save precious execution time. The gesture corresponding to minimal Euclidean distance was the identified gesture. This project acquainted me with MATLAB and I learnt about various image enhancement and image segmentation techniques. I presented a paper at IEEE’s International Conference on Convergence of Technology (I2CT), Pune, published in the journal with ISBN “978-1-4799-3759-2”.
cuibeibei2020/TripletTracking
ECCV 2018 Triplet Loss in Siamese Network for Object Tracking
cuibeibei2020/Wound_Image_Segmentation_by_Markov_Random_Field
Enhanced 18% efficiency of a research project on Wound Image Segmentation using Markov Random Field, Image Processing, Segmentation and Morphology.