HOG Features (Theory and Implementation using MATLAB and Python)

Pubblicato il: 15 marzo 2022
sul canale di: 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...

In questa pagina del sito puoi guardare il video online HOG Features (Theory and Implementation using MATLAB and Python) della durata di ore minuti seconda in buona qualità , che l'utente ha caricato Exploring Technologies 15 marzo 2022, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 11,095 volte e gli è piaciuto 189 spettatori. Buona visione!

994