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2008 IEEE Conference on Computer Vision and Pattern Recognition (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2242-5
pp: 1-8
Sai-Kit Yeung , The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
Chi-Keung Tang , The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
Pengcheng Shi , Rochester Institute of Technology, New York, USA
Josien P.W. Pluim , Image Sciences Institute, University Medical Center Utrecht, The Netherlands
Max A. Viergever , Image Sciences Institute, University Medical Center Utrecht, The Netherlands
Albert C.S. Chung , The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
Helen C. Shen , The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
ABSTRACT
This paper presents a new method to enforce inverse consistency in nonrigid image registration and matching. Conventional approaches assume diffeomorphic transformation, implicitly or explicitly. However, the inherent smoothness constraint discourages discontinuity consideration. We propose a post-processing algorithm that integrates the input forward and backward fields, which are output by existing registration/matching algorithms, to produce more robust results. Given such a pair of input fields, our algorithm alternately refines the fields by tensor belief propagation, and enforces inverse consistency in stochastic sense by generalized total least squares fitting. To show the efficacy of our stochastic inverse consistency approach, we first present results on very noisy fields. We then demonstrate improvement on existing stereo matching where occlusion is naturally handled by localizing violations of inverse consistency. Finally, we propose a novel application on image stitching, where stochastic inverse consistency is employed in structure deformation, in order to seamlessly align overlapping images with severe misalignment in structure and intensity.
INDEX TERMS
CITATION

Pengcheng Shi et al., "Enforcing stochastic inverse consistency in non-rigid image registration and matching," 2008 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Anchorage, AK, USA, 2008, pp. 1-8.
doi:10.1109/CVPR.2008.4587400
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