Laser scanning systems are frequently used to provide the digital surface models, DSM, of the earth surface. Laser scanning is a fast and precise technique to extract information related with various objects (terrain and non-terrain). Automatic extraction of objects from laser scanner data and images has recently been an important subject. Buildings are the objects of the highest interest in 3D...

Laser scanners are often used to create accurate 3D models of buildings for civil engineering purposes, but the process of manually vectorizing a 3D point cloud is time consuming and error-prone (Adan and Huber, 2011). Therefore, the need to characterize and quantify complex environments in an automatic fashion arises, posing challenges for data analysis. This paper presents a system for 3D mod...

This paper describes a method to detect glasses’ frames for robust facial image processing. This method makes use of the 3D features obtained by a trinocular stereo vision system. The glasses frame detection is base on a fact that the rims of a pair of glasses lie on the same plane in 3D space. We use a 3D Hough transform to obtain a plane in which 3D features are concentrated. Then, based on t...

Abstract We present and analyse the Hough transform (HT) to recognise approximate space curves in digital models, a problem that is not currently addressed by standard HT. Our method works on meshes point clouds applies models even incomplete or affected noise, thus being suitable for analysis of deriving from 3D scans. In our approach we take advantage recent HT formulation algebraic define bo...

The generalized Hough transform constitutes a wellknown approach to object recognition and pose detection. To attain reliable detection results, however, a very large number of candidate object poses and scale factors need to be considered. In this paper we employ an inexpensive, consumer-market graphics card as the “poor man’s” parallel processing system. We describe the implementation of a fa...

We present a method to determine 3D motion and structure of multiple objects from two perspective views, using adaptive Hough transform. In our method, segmentation is determined based on a 3D rigidity constraint. Instead of searching candidate solutions over the entire five-dimensional translation and rotation parameter space, we only examine the two-dimensional translation space. We divide th...

We begin with a quick overview of a natural extension to the Hough Transform Hough (1962) to 3D. We note that the following theorems, although proved for 3D, hold equally well in 2D; the proofs are identical if we rename the z coordinate into y. Given a point p = (a, b, c) in R, we define its dual plane as H (p) = ` (x, y) = ax + by − c, and given a plane π (x, y) = ax + by + c, we define its d...