14 September 1993 Estimation of surface shape from endoscopic image sequence
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In this paper, an approach is presented for 3-D surface shape estimation from monocular endoscopic images. The algorithms uses image sequence that are taken by shifting camera. In the first stage, the camera movements are estimated and the surface shape is roughly estimated by a method that is similar to stereo vision. In the second stage, the surface shape is refined by a multiview method. This multiview system selects several images from the image sequence and determines the corresponding view positions. Since each view contains noise, the algorithm solves for the depth distribution by minimizing an energy function such that all regions of several images are matched as close as possible in a least square sense while a smoothness constraint is applied on the solution. The contribution ratio of each view to the estimation is controlled by a weighting function that is decided depending on the geometric relationship between the surface point and each viewpoint. Principle of the method and experimental results are presented.
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Norihiko Oda, Norihiko Oda, T. Nonami, T. Nonami, Masahiro Yamaguchi, Masahiro Yamaguchi, Nagaaki Ohyama, Nagaaki Ohyama, Toshio Honda, Toshio Honda, "Estimation of surface shape from endoscopic image sequence", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154574; https://doi.org/10.1117/12.154574

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