An Effective EM-PND Based Integrated Approach for NRSFM with Small Size Sequences

Abstract

The performance of non-rigid structure from motion (NRSFM) generally deteriorates when the image sequence is small. In this paper, an effective approach is proposed to deal with NRSFM with small size sequences based on the Expectation and Maximization-Procrustean Normal Distribution (EM-PND) algorithm. In the proposed method, the sub-sequences are first extracted from the original small size sequence. Further, some weaker estimators are constructed by inputting the sub-sequences to the EM-PND algorithm. Finally, the 3Dstructures of the sequences are estimated by integrating the outputs of these weaker estimators. Experimental results on several widely used sequences demonstrate the effectiveness and feasibility of the proposed algorithm.