3D reconstruction and camera calibration from 2D images

A 3D reconstruction technique from stereo images is presented that needs minimal intervention from the user. The reconstruction problem consists of three steps, each of which is equivalent to the estimation of a specific geometry group. The first step is the estimation of the epipolar geometry that exists between the stereo image pair, a process involving feature matching in both images. The second step estimates the affine geometry, a process of finding a special plane in projective space by means of vanishing points. Camera calibration forms part of the third step in obtaining the metric geometry, from which it is possible to obtain a 3D model of the scene. The advantage of this system is that the stereo images do not need to be calibrated in order to obtain a reconstruction. Results for both the camera calibration and reconstruction are presented to verify that it is possible to obtain a 3D model directly from features in the images.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2000

Author dc:creator

• Henrichsen, Arne

Advisor dc:contributor.advisor

• De Jager, Gerhard

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/9725

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/9725