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A New Natural Marker Detection Method in AR Using Sketch-Based Image Matching

Abstract— In this paper, we present a new sketch-based image matching approach to localize a natural marker of an Augmented Reality system. Conventionally, sketch-based image matching is known as a content-based retrieval method to compare the database images with a sketch-based image drawn by users and estimate the degree of similarity between the database images and the query image. In this paper, we adopt sketch-based matching method to localize the natural marker of the sequential images to augment 3D virtual object in AR system. Most similar object in the input image is determined as a natural marker of the AR by comparing the user defined sketched image based on the features such as their edge or corners etc. Unlike other image matching methods, this matching technique is possible to produce query image without constraints by drawing the image intuitively. In addition, in the proposed sketched based AR system, the 3D object augmented on the marker will be also determined by object matching between the detected marker and 3D database images.

Index Terms— sketch-based image matching, SURF, feature matching, augmented reality, natural marker.

Jeajoon Seho, Junchul Chun
Department of Computer Science, Kyonggi University, SOUTH KOREA

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Cite: Jeajoon Seho, Junchul Chun, "A New Natural Marker Detection Method in AR Using Sketch-Based Image Matching," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 138-142, Tokyo, 17-19 June, 2016.