Novel Dominant Plant Detection Algorithm for Image Sequence

Dominant plane is an important geometric feature and can be used in a wide range of applications. In this paper, we develop a robust technology for dominant plane detection using the progressive structure from motion and dominant plane fitting algorithms. Firstly, we propose a progressive structure from motion algorithm to reconstruct the real scene from the image sequences, and obtain the information of three-dimensional points in the scene. In the following, based on the least median square (LMedSq) estimation and ransac theory, we present a novel plane fitting algorithm to find the dominant plane near the scene surface from the reconstructive points. Experimental results from different outdoor scenarios show that the proposed reconstruction algorithm obtains dense 3D point cloud, and achieves satisfactory recovery from image sequence. Then, the plane fitting algorithm accurately detects the dominant plane region from the reconstructive points. The detected plane is the approximation for local surface and meets the actual scene. These tests verify that the proposed method is effective, accurate and robust.