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M. Uyttendaele, A. Eden and R. Szeliski, “Eliminating Ghosting and Exposure Artifacts in Image Mosaics,” Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kauai, 8-14 December 2001, pp. 509-516.

has been cited by the following article:

• TITLE: Efficient Image Stitching in the Presence of Dynamic Objects and Structure Misalignment

  AUTHORS: Chao Tao, Hanqiu Sun, Changcai Yang, Jinwen Tian

  KEYWORDS: Image Stitching, Motion Estimate, Region Growing, Graph Cut

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.3, August 12, 2011

  ABSTRACT: This paper presents a new method for simultaneously eliminating visual artifacts caused by moving objects and structure misalignment in image stitching. Given that the input images are roughly aligned, our approach is implemented in two stages. In the first stage, we discover motions between input images, and then extract their corresponding regions through a multi-seed based region growing algorithm. In the second stage, with prior information provided by the extracted regions, we perform a graph cut optimization in gradient-domain to determine which pixels to use from each image to achieve seamless stitching. Our method is simple to implement and effective. The experimental results illustrate that the proposed approach can produce comparable or superior results in comparison with state-of-the-art methods.