When is Template Matching used in real life?
- Naveen
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Template matching is used in real-time video surveillance to retrieve templates.
This section will discuss the use cases of template matching in computer vision. Template matching is used to compare the details between two images and retrieve templates. These templates are then matched to identify structures within an image, such as facial features or license plates.
This method can be applied in surveillance because it can capture similar features like faces or other types of shapes by comparing them with templates that are stored in a database. We need to make sure that template matches are accurate before we make any decisions based on them, but they are still very helpful when we want to find similarities between two images for identification purposes.
Template matching is the process of finding an object, pattern or shape within an image, video, or audio.
Template matching is used for many purposes in real life. Some examples are:
- Matching logos to other logos to see which company has the most recognizable logo.
- Matching handwriting to see if two people wrote the same thing.
- Matching eye scans to identify who should be issued a particular passport.
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Naveen Pandey has more than 2 years of experience in data science and machine learning. He is an experienced Machine Learning Engineer with a strong background in data analysis, natural language processing, and machine learning. Holding a Bachelor of Science in Information Technology from Sikkim Manipal University, he excels in leveraging cutting-edge technologies such as Large Language Models (LLMs), TensorFlow, PyTorch, and Hugging Face to develop innovative solutions.
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