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  • 标题:Shape Modification from Endoscope Images by Regression Analysis
  • 本地全文:下载
  • 作者:Yuji Iwahori ; Seiya Tsuda ; Aili Wang
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2015
  • 卷号:10
  • 期号:9
  • 页码:199-210
  • DOI:10.14257/ijmue.2015.10.9.21
  • 出版社:SERSC
  • 摘要:The VBW (Vogel-Breu.-Weickert) model is proposed as a method to recover 3-D shape under point light source illumination and perspective projection. However, the VBW model recovers relative, not absolute, shape. Here, shape modification is introduced to recover the exact shape. Modification is applied to the output of the VBW model. First, a local brightest point is used to estimate the reflectance parameter from two images obtained with movement of the endoscope camera in depth. A Lambertian sphere image is generated using the estimated reflectance parameter and VBW model is applied for a sphere. Regression analysis is introduced to improve the surface gradients, where linear coefficients can be obtained using true values of gradient parameters with a generated sphere. Depth can then be recovered using the modified gradient parameters. Performance of the proposed approach is confirmed via computer simulation and real experiment.
  • 关键词:Endoscope Image; VBW Model; Regression Analysis; Shape Modification; ; Reflection Factor
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