Abstract
In this paper, we propose a method for reconstructing 3D sequential patterns from multiple images without knowing image correspondences and without calibrating camera sensitivity parameters on intensity. The sequential pattern is defined as a series of colored 3D points. We assume that the order of the points is obtained in multiple images, but the correspondence of individual points is not known among multiple images. For reconstructing sequential patterns, we consider a camera projection model which combines geometric and photometric information of objects. Furthermore, we consider camera projections in the frequency space. By considering the multi-view relationship on the new projection model, we show that the 3D sequential patterns can be reconstructed without knowing correspondence of individual image points in the sequential patterns, and also the recovered 3D patterns do not suffer from changes in camera sensitivity parameters.
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