A Novel Alignment Algorithm for 3D Models

Abstract

It is essential to align different 3d models from different scale, posture and translation to a uniform coordinate system in many 3d applications. Traditional alignment algorithm iterative optimizes the scale, posture and translation parameters from random initial values which is usually time consumed especially dealing with huge 3d point cloud data. To solve this problem, a novel alignment algorithm is proposed, which mainly consists of two step. At the first step, the scale, posture and translation are quickly adjust by re-projecting and least square solving. At the second step, the scale, posture and translation parameters are fine tuned by iterative optimization. The experiments show that the alignment algorithm is efficient and accurate.