Local Binary Patterns implementation using Python3 and OpenCV
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Updated
Mar 3, 2017 - Python
Local Binary Patterns implementation using Python3 and OpenCV
Convolutional Neural Networks based Deep Learning Model
Boosted multi-task learning for face verification
Facial Expression Prediction using Information Theoretic Learning
👨 使用 OpenCV 和 Qt 实现人脸(刷脸)登录
LBP-based segmentation of defocus blur
Image classification system that detects compound & non-compound images
Optical flow for visual tracking,achieved by matlab
Android application for gender, age and face recognition using OpenCV and JavaCV libraries
Project implemented using MatLab and Computer Vision algorithms during Computer Vision subject
this programme use a test picture and webcam to know if the person who use webcam is the same in the test using HOG and LBP
Use of computational vision techniques to detect plant diseases
Face Identification In Artwork
LBP feature histograms extracted from regions
Reformulation of LBP through Convolutional Filters in Python using the TensorFlow framework
Métodos clássicos de aprendizagem de máquina são utilizados para realizar a classificação da emoção raiva e alegria em imagens da base de dados RafD. Viola-Jones e o LBP são utilizados para extrair as regiões dos olhos e da boca e obter seu vetor de características. A métrica utilizada para medir o desempenho dos classificadores é a acurácia.
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