MATLAB implementations of various Computer Vision algorithms.
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Updated
Jan 2, 2015 - C
MATLAB implementations of various Computer Vision algorithms.
Feature Expression Detection for public User Satisfaction Measurement Analysis
Computer vision exercises
Tag Me was a Machine Learning Contest by IISc Bangalore. Please refer : http://events.csa.iisc.ernet.in/opendays2014/events/MLEvent/index.php
Bag-of-words Image Retrieval
Feature extraction by using SITF+BoF.
Enhanced hierarchical bag-of-word library for C++
Python implementation of the Bag of Contour Fragments algorithm for shape classification
CV: Corner, Vanishing Point Detection and Bag of Visual Words Algorithm Implemented in Python
Applied different classifiers on Image Dataset
Predicting dog's breed in an image using Machine Learning
Bag of Colors implementation in notebook form
A simple Bag of Words implementation using OpenCV C++.
Image similarity finder using Bag of Visual Words algorithm
This project is a study that compares two machine learning approches (Feature extraction with SIFT descriptors and deep learning) in order to classify dogs races (Stanford dogs dataset). A flask application is built from the weights of the final deep neural network trained : http://bit.ly/mk_cv_dogs
A Content-Based Image Retrieval system using modern technologies
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