Improved descriptor for dynamic line matching in omnidirectional images

This paper proposes enhancement technique to introduce a robust descriptor for matching the vertical lines between the two moving images in the context of omnidirectional images. The first step is to propose a new descriptor by using signal entropy to determine the number of circular areas for extracted lines. Then, to enhance the orientation histogram, standard deviation over the entropy value and number of circles is used to determine the number of bins in each area. Evaluation results demonstrates the robustness of the proposed descriptor in dynamic line matching (DLM) in omnidirectional images.