Computer Vision Lab
Nikolay Falaleev
Blog
A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is the application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods, and Hardware.
All of the blog post materials are available here.
VGG16-based fully convolutional networks for semantic segmentation of images on Cityscapes
Application of a linear SVM for image classification with HOG, binned color and color histogram features.
Computer vision approach for road marking detection with adaptive thresholds and positions of virtual sensors.
Convert a normal image to a Bird's Eye view projection with OpenCV.
A simple way to calibrate an optical system with a chessboard pattern by means of the OpenCV to reduce distortion.
An approximate approach to find an equidistant curve for a given polynomial.