![]() ![]() Depending on the specific problem at hand, we may (or may not) want to identify the rotated or scaled occurrences. Template Matching techniques are expected to address the following need: provided a reference image of an object (the template image) and an image to be inspected (the input image) we want to identify all input image locations at which the object from the template image is present. Their applicability is limited mostly by the available computational power, as identification of big and complex templates can be time-consuming. ![]() Template Matching techniques are flexible and relatively straightforward to use, which makes them one of the most popular methods of object localization. Advanced template matching algorithms allow to find occurrences of the template regardless of their orientation and local brightness. Template Matching is a high-level machine vision technique that identifies the parts on an image that match a predefined template. ![]() Template Matching Template Matching Introduction ![]()
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