2015 | OriginalPaper | Buchkapitel
Comparison of Edge Operators for Detection of Vanishing Points
verfasst von : Dongwook Seo, Danilo Cáceres Hernández, Kang-Hyun Jo
Erschienen in: Computational Collective Intelligence
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This paper describes a comparative study of edge operators for the task of detecting dominant vanishing points in the image. Segmentation of line is required in order to detect the vanishing points. Three edge operators such as Sobel, Canny, and LoG (Laplacian of Gaussian) are used in order to compare that edge has influence on detecting the vanishing points. Most of line segments are obtained based on edge detection. The vanishing points are estimated by MSAC (m-estimator sample consensus) based algorithm. First, lines are extracted from edge images produced by edge operators. Second, vanishing points are obtained. The results of line segments and vanishing points detection are compared and discussed. The comparison is carried out based on the result of implementation on images with different buildings.