Title :
Modeling an object of revolution by zooming
Author :
Lavest, Jean-Marc ; Rives, Gérard ; Dhome, Michel
Author_Institution :
CNRS, Univ. Blaise Pascal, Aubiere, France
fDate :
4/1/1995 12:00:00 AM
Abstract :
This paper presents a system for modeling solids of revolution from a set of images taken with a zoom-lens. Using a zoom in monocular vision has interesting optical properties. The displacement of the optical center along the optical axis, when the focal length is modified, permits one to implement a triangulation process. Modeling a solid of revolution requires the estimation of the 3D location of its revolution axis. First, the authors describe an original method, using zoom properties, to compute the 3D pose of the revolution axis. It requires the detection in each image of the object axis projection. Then, the modeling algorithm is presented. It is based on the resolution of the inverse perspective problem for points detected in the images. An experimental result of reconstruction, from a real images set is finally given
Keywords :
computer vision; image reconstruction; minimisation; solid modelling; 3D location estimation; 3D pose; focal length; inverse perspective problem; monocular vision; object axis projection; object of revolution; optical center; solids of revolution; triangulation process; zooming; Brightness; Calibration; Computer vision; Image reconstruction; Image resolution; Lenses; Machine vision; Object detection; Orbital robotics; Solid modeling;
Journal_Title :
Robotics and Automation, IEEE Transactions on