Enhancing Computer Vision with SIFT Feature Extraction in OpenCV and Python

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In this video 📝 we are going to do SIFT Feature Extraction in OpenCV with Python. We will talk about what the SIFT feature extractor is and how to set it up. We will go over the code line by line and match the found points or features in two images. At the end of the video, an example with a live webcam feed will be shown with SIFT feature extraction.

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Tags:
#SIFT #OpenCV #FeatureExtraction #ComputerVision
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NicolaiAI
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Maybe I'm wrong, but what's the point of doing point matching on two identical, simultaneous images/videos? Doesn't that mean that the process is going to be error-free?

stolfjr
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Awesome. How about using these SIFT features and calculating Equal Error Rate (EER) for authentication? Also how about plotting Receiver Operating Characteristic (ROC) curve? These 2 concepts are confusing for me can you visualize if possible on SIFT or any other feature extractor ?

Azlafcokis
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Bfmatcher stands for brute-force matching algorithm. Doing exhaustive search using all the descriptors

jakubnovak
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I don't see this code in your github. Can you share this repo ?

jankowal
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Sir what is the algorithm behind face_recognition Library

sk_valiya_babji
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keep going and thx for the help
🔥🔥🔥🔥🔥🔥🔥

epiphany
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I am interested to see what happens if those are matches are done on images seen from different views.

bikram
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Can someone help me
How combine sift with cnn?

htbwdhw
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Thank you Mr. Nicolai. the tutorial is quite educative. Please i wanted to use SIFT and SURF features but this Python is giving an error. pls. help. AttributeError: module 'cv2' has no attribute 'xfeatures2d'

sanisalisu
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Its not working for slightly different images :(
edit: i think using a better matcher should fix this

mehershrishtinigam
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can you please mention what version of opencv that you are using ?

jabirup
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SIFT is all good and fine but never works in opencv. Always shows attribute error no matter what you do

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