Detecting Planes In An Uncalibrated Image Pair

Plane detection is a prerequisite to a wide variety of vision tasks. This paper proposes a novel method that exploits results from projective geometry to automatically detect planes using two images. Using a set of point and line features that have been matched between images, the method exploits the fact that every pair of a 3D line and a 3D point defines a plane and utilizes an iterative voting scheme for identifying coplanar subsets of the employed feature set. The method does not require camera calibration, circumvents the 3D reconstruction problem, is robust to the existence of mismatched features and is applicable either to stereo or motion sequence images. Sample results from the application of the proposed method to real imagery are also provided.

• Type: Conference
• Year: 2002
• Where: BMVC
• Authors: Manolis I. A. Lourakis, Antonis A. Argyros, Stelios C. Orphanoudakis
• Keywords: BMVC 2002, Computer Vision, Iterative Voting Scheme, Plane Detection, Projective Geometry