Fast and efficient vanishing point detection in indoor images

A method for detecting a vanishing point in structured images is presented. The method relies on the detection of line segments from an edge map by representing clusters of edge points by the long axes of highly eccentric ellipses. The extracted lines provide a set of candidate vanishing points computed by their intersections, which are assigned weights proportional to the lengths of the line segments they belong to. Then, a voting scheme is applied through an accumulator array generated by griding the image frame. The votes of each grid cell are weighted by the Π-sigmoid kernel allowing cells to contribute to their neighbors.