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- 저자 : Seiya Tsuda (검색결과 1 건)
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Shape Modification from Endoscope Images by Regression Analysis
Yuji Iwahori,Seiya Tsuda,Aili Wang,Robert J. Woodham,M. K. Bhuyan,Kunio Kasugai 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.9
The VBW (Vogel-Breuß-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.
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