There are 0 repository under lbp-features topic.
Collection of HAAR and LBP cascades designed to recognize various street signs
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.
Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly
Lab Experiments under Lab component of CSE3018 - Content-based Image and Video Retrieval course at Vellore Institute of Technology, Chennai
A module that can extract LBP features (local binary pattern) from 3D images. Can be used for extracting features from medical images.
Texture Segmentation using: Gray-Level Co-occurence Matrix, Leung-Malik (LM) Filter Bank and Schmid (S) Filter Bank and Local Binary Pattern.
Facial Expression Classification and Feature Extraction
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.
Malaria Detection Project on Malaria Cells
texture classification with svm using lbp and glcm
Where Is (the) Ball /Ball Recognition with OpenCV
Classifier for MOUSE eyes used in behavioural experiments.
Gender Detection Project
Fingerprint-Spoof-Detector
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
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.
Final course project for image processing in RPI
Color/Texture based Image Retrieval
A selection of python scripts regarding face morphing generation and detection
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
Computer Vision project such as Image Preprocessing, Image Feature Extraction, Object Detection
Hand crafted features and Learned Features for classification of faces on Yale32x32 dataset. LBP, HoG, SRC, Eigenfaces, Fischerfaces used with conventional ML algorithms
🌻Flower Recognition using Multi-class classification 🌻