How to Do Template Matching with Computer Vision
Blog post from Roboflow
Template matching is a classical computer vision technique used to identify a smaller reference image within a larger image, which is particularly useful for object identification when the shape of the object is known. While modern deep-learning approaches offer more effective identification, template matching still holds relevance and can be implemented using platforms like Roboflow Workflows. The guide details a step-by-step process to create a workflow, which involves setting up a Roboflow account, using the platform’s editor to configure workflows, adding a template matching block, and visualizing results with bounding box visualizations. Upon testing, the workflow is capable of returning both JSON data and visual representations of the matched templates, demonstrating how template matching can be effectively used to localize objects in images.