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Artistry in Detail: Mastering HOG Feature Extraction

T. Aditya Sai Srinivas, Md. Kaif Khan, K. Karthik Reddy, G. Sai Chand

Abstract


This abstract introduces the fascinating world of "Extracting HOG Features," where image analysis transcends traditional boundaries. HOG, or Histogram of Oriented Gradients, emerges as a powerful tool in unveiling intricate patterns within images. The paper delves into the artful craft of feature extraction, elucidating how HOG captures the nuanced textures and structures that define visual content. Through a lens of visual poetry, this work explores the transformative potential of HOGonomics, where the synthesis of pixels becomes a symphony. Join the journey into the realm of HOGwarts, where wizardry in feature extraction paints a vivid tapestry of insights in image analysis.


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References


https://www.kaggle.com/code/brendan45774/hog-features-histogram-of-oriented-gradients

https://medium.com/@dnemutlu/hog-feature-descriptor-263313c3b40d

https://towardsdatascience.com/hog-histogram-of-oriented-gradients-67ecd887675f

https://www.analyticsvidhya.com/blog/2019/09/feature-engineering-images-introduction-hog-feature-descriptor/

https://thecleverprogrammer.com/2020/05/15/extracting-hog-features/


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