HOG Features (Theory and Implementation using MATLAB and Python)

Опубликовано: 15 Март 2022
на канале: Exploring Technologies

11,095

189

#transform #wavelet #matlab #mathworks #matlab_projects #matlab_assignments #phd #mtechprojects #deeplearning #projects #ai #machinelearning #artificialintelligence #matlabcode #research #signalprocessing #imageprocessing #wavelet #signals #matlabproject #python #pythonprogramming #pythontutorial

Please visit, @https://www.exptech.co.in/ for more information and downloads. Also follow the Facebook page:
@https://www.facebook.com/DrAjayKrVerm...

Hello Viewers, in this video, Histogram of Oriented Gradients (HOG) is explained. This video tutorial includes, its theory and its implementation using both MATLAB and Python.

The HOG feature is very popular and widely used for object detection in images. This tutorial is based on the work proposed by Navneet Dalal and Bill Triggs.

This video includes following contents:
Introduction.
Finding Image Gradient.
Getting Cell Orientation Histogram (Getting Bins).
Making Blocks and Block Normalization.
Getting HOG feature Vector.
MATLAB Code for finding HOG feature vector.
Python Code for finding HOG feature vector.

Link to download original paper of N. Dalal and Bill Triggs:
https://lear.inrialpes.fr/people/trig...

На этой странице сайта вы можете посмотреть видео онлайн HOG Features (Theory and Implementation using MATLAB and Python) длительностью часов минут секунд в хорошем качестве, которое загрузил пользователь Exploring Technologies 15 Март 2022, поделитесь ссылкой с друзьями и знакомыми, на youtube это видео уже посмотрели 11,095 раз и оно понравилось 189 зрителям. Приятного просмотра!