Abstract—Multi-view image/video stitching algorithm is an extensive research area in computer vision and image based rendering. Most researches focus on stitching the images from different views with assumption that those images have been already aligned in temporal domain. However it is not the case in real application. If the images from different views are not aligned in temporal domain, or in another words, not time synchronized, the corresponding feature points or regions will not be located correctly among different views, which will result in ghost objects appearing in the final stitching/rendering result. In this paper, we present an epipolar geometry consistency scoring scheme to guide temporal aligned video frame pair selection for multi-view video stitching application. Essentially, the proposed scheme allows us to determine whether a given pair of video frames is temporally aligned well for video stitching. Experimental results confirm that better video stitching results can be obtained with the proposed scheme in place.

Index Terms—video stitching, temporal aligned selection

Cite: T. Luo, R. H. Y. Chung, and K. P. Chow, "Selection of Temporal Aligned Video Frames for Video Stitching Application," Jounal of Automation and Control Engineering, Vol. 2, No. 4, pp. 367-370, December, 2014. doi: 10.12720/joace.2.4.367-370