An Extremely Efficient Chess-board Detection for Non-trivial Photos
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We present a set of algorithms that can be used to locate and crop the chess-board/chess-pieces from the picture, including every rectangular grid with any pattern. Our method is non-parametric, and thus does not require the prior knowledge from computer vision and machine learning, which is instead inferred from data. We illustrate the application of our method to a variety of examples, such as chess-board cropping and regular grid-pattern localization. In addition, we present two independent algorithms: PAMG (vertices detector) and FAPL (thermal lines) that can be widely used for other tasks in computer vision.
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