Collection of HAAR and LBP cascades designed to recognize various street signs

:man: 使用 OpenCV 和 Qt 实现人脸（刷脸）登录

Emotion recognition system based on LBP-TOP.

The program uses HOG and LBP features to detect human in images. First, use the HOG feature only to detect humans. Next, combine the HOG feature with the LBP feature to form an augmented feature (HOG-LBP) to detect human. A Two-Layer Perceptron (feedforward neural network) will be used to classify the input feature vector into human or no-human.

Lab Experiments under Lab component of CSE3018 - Content-based Image and Video Retrieval course at Vellore Institute of Technology, Chennai

Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly

A module that can extract LBP features (local binary pattern) from 3D images. Can be used for extracting features from medical images.

A two-class fingerprint spoof detector that uses Local Binary Patterns (LBP) features along with Support Vector Machines (SVM) to distinguish live fingerprints images from spoof samples.

Texture Segmentation using: Gray-Level Co-occurence Matrix, Leung-Malik (LM) Filter Bank and Schmid (S) Filter Bank and Local Binary Pattern.

A SPATIAL AND FREQUENCY BASED METHOD FOR MICRO FACIAL EXPRESSIONS RECOGNITION USING COLOR AND DEPTH IMAGES

Facial Expression Classification and Feature Extraction

Where Is (the) Ball /Ball Recognition with OpenCV

Malaria Detection Project on Malaria Cells

texture classification with svm using lbp and glcm

Gender Detection Project

No description provided.

Fingerprint-Spoof-Detector

No description provided.

Classifier for MOUSE eyes used in behavioural experiments.

It, shoes? It's a demo project to use both traditional computer vision methods and deep learning to detect and recognize shoes based on shoes7k dataset

对一个带标签的图像数据集，分别使用传统CV方法/深度学习方法进行图像特征提取，并基于提取后的向量化特征聚类，对结果做EDA和效果评估

Satelite image classification in South Zone, Rio de Janeiro

This Project is regarding Compute Vision in which VGG16 Model is used to detect and classify images based upon there features

A selection of python scripts regarding face morphing generation and detection

Color/Texture based Image Retrieval

🌻Flower Recognition using Multi-class classification 🌻

Detection and tracking malign nevus on Android by using opencv(3.0.0).An app of image processing I used knn for classification and LBP algorithm for detection.

Hand crafted features and Learned Features for classification of faces on Yale32x32 dataset. LBP, HoG, SRC, Eigenfaces, Fischerfaces used with conventional ML algorithms