Edge plane detection in spatio-temporal images by using edge vector and edge reliability

We propose a method of edge plane detection in 3D images by utilizing features of edge vector and edge reliability. This method can detect only reliable edge planes against noise influences. For the 2D case, we proposed an edge detection method which calculates edge vectors and edge reliability and can detect reliable edges at more accurate positions than Canny´s method. This 2D edge vector detector is generalized to the 3D case. In applying this method to a 3D image, edge vectors and edge reliability are calculated. For finding edge surfaces (3D boundaries), the connected components of edge points detected from those features are composed by labeling. Finally, each edge surface is classified into edge planes using the directions of edge vectors. The proposed method was applied to spatio-temporal images and the depths of ridges in the 3D scene were estimated from the detected edge planes