Building 3D Models of Vehicles for Computer Vision

. We present 1 a technique to build and manipulate three dimensional models of vehicles, to be used by a computer vision system. These tools will help find a suitable class of models for the vehicles and the trajectories, which are restricted to shape of cars (symmetry, regularity) and their trajectories (ground plane constraint), moving on a fixed scenario. The models consist of a variable number of facets in the three dimensional space, varying along time, each one with a corresponding objective (evaluation) function. 1 Introduction We have created a tool to build and manipulate three dimensional models of vehicles, using images taken from a fixed, off-the-shelf calibrated camera. Our aim is to develop techniques for vehicle detection and tracking. The approach considered is top down, in which a set of hypotheses, chosen from a family of three dimensional models, is matched against the raw images. Former applications of this model based, top down approach were intended to..