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Shape from shading and optical flow used for 3-dimensional reconstruction of endoscope image.

Conclusion: The shape from shading and optical flow are implemented to three-dimensional (3D) reconstruction. Objective: Solve the problem of 3D reconstruction in endoscope imaging. Method: One of the fundamental approaches in the domain of computer vision is shape from shading. This algorithm was p...

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Published in:Acta Oto-Laryngologica Vol. 136; no. 11; pp. 1190 - 1193
Main Authors: Lei, Lei, Li, Jianhui, Liu, Meiqing, Hu, Xiaoming, Zhou, Ya, Yang, Shiming
Format: algorithm equations & formulas pictorial research tables/charts Journal Article
Published: Taylor & Francis Ltd Nov2016
Online Access:View this record in EBSCOhost
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      pub: Taylor & Francis Ltd
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        10.1080/00016489.2016.1193895
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        atl: Shape from shading and optical flow used for 3-dimensional reconstruction of endoscope image.
      aug:
        au:
          Lei, Lei
          Li, Jianhui
          Liu, Meiqing
          Hu, Xiaoming
          Zhou, Ya
          Yang, Shiming
        affil: Department of Otolaryngology Head and Neck Surgery, Chinese PLA General Hospital, Beijing, PR China
      sug:
        subj:
          Imaging, Three-Dimensional
          Endoscopy
          Data Analysis, Statistical
          Photography
          Photometry
          Human
      ab: Conclusion: The shape from shading and optical flow are implemented to three-dimensional (3D) reconstruction. Objective: Solve the problem of 3D reconstruction in endoscope imaging. Method: One of the fundamental approaches in the domain of computer vision is shape from shading. This algorithm was proposed to obtain the shape of an object from a single intensity image. Because of the severe conditions are required in shape from shading to reconstruct 3D surface. The photometric calibration is proposed from the view of image processing. The calibration is important for illumination-based visualization techniques such as SFS (shape-from-shading). However, the surface reconstruction from SFS is the relative variation in the grey gradient field. So the change from relative variation to absolute variation is necessary when the actual size of surroundings has to be known. Then the optical flow is introduced to solve this change in the paper. The optical tracker is also used in this system to capture the pose of endoscopy. Result: The stability of surface reconstruction is improved when the photometric calibration is used before shape from shading.
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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