Understanding HOG Features in Computer Vision | Edge Detection & Object Recognition | @DefSciTech скачать в хорошем качестве

Understanding HOG Features in Computer Vision | Edge Detection & Object Recognition | @DefSciTech

The video is Image Features and Tutorial on Histogram of Oriented Gradients The #histogram_of_oriented_gradients (HOG) is a #feature_descriptor or #image_features used in #computer_vision and #image_processing for the purpose of #object_detection and #image_classification. Image Features with Histogram of Oriented Gradients discusses the topics. #classifying_a_circle 00:00 Image features 01:32 Histogram Spikes 01:56 H.O.G #histogram_of_gradients #hog_features_python #skimage_hog #histogram_of_oriented_gradients_python #hog_algorithm_for_face_detection #histograms_of_oriented_gradients_for_human_detection #hog_feature_extraction_python #Calculating_Image_Features #image_intensity_for_classifications #color_histogram #histogram_of_shifted_image #splitting_images #histogram_spikes #what_is_HOG? #Image_Features_and_Histogram_of_Oriented_Gradients #image_classifiers #Image_Features_with_Histogra_of_Oriented_Gradients #Image_Features_with_HOG The chapters are as under: #CompVision #Electrical_Engineering_Education #Tutorial_on_Histogram_of_Oriented_Gradients #Computer_Vision #Electrical_Engineering_Education The link for the video is    • Understanding HOG Features in Computer Vis...   #electrical_engineering_lectures #computer_vision_lectures #image_processing_lectures #electrical_engineering_courses #computer_vision_courses #image_processing_courses