Do-Wook Jeong, Sung-Gi Jung, Hyung-Il Choi, Journal of Internet Computing and Services, Vol. 18, No. 1, pp. 43-50, Feb. 2017
10.7472/jksii.2017.18.1.43, Full Text:
Keywords: inside wall frame detection, vanishing points detection, tree based learning, superpixel segmentation

Abstract

In this paper, we are proposing improved vanishing points detection and segments labeling methods for inside wall frame detection from indoor image of a piece of having a colour RGB. A lot of research related to recognizing the frame of artificial structures from the image is being performed due to increase in demand for AR technology. But detect the inside wall frame in indoor images have many objects that caused the occlusion is still a difficult issue. Inner wall frame detection methods are usually segment labeling methods and detect vanishing point methods are used together. In order to improve the vanishing point detection method we proposed using inner wall orthogonality which forms the cube. Also we proposed labeling method using tree based learning and superpixel based segmentation method for labelingthe segments in indoor images. Finally, in experiments have shown improved results about inside wall frame detection according to our methods.

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