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논문검색

Shape Modification from Endoscope Images by Regression Analysis

초록

영어

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.

목차

Abstract
 1. Introduction
 2. VBW Model
 3. Proposed Approach
  3.1. Estimating Reflectance Parameter
  3.2. Regression Analysis for Shape Modification
 4. Experimental Results
  4.1. Regression Analysis
  4.2. Computer Simulation
  4.3. Real Image Experiments
 5. Conclusion
 Acknowledgment
 References

저자정보

  • Yuji Iwahori Dept. of Computer Science, Chubu University, 487-8501 Japan
  • Seiya Tsuda Dept. of Computer Science, Chubu University, 487-8501 Japan
  • Aili Wang Dept. of Measurement & Control Technology and Instrumentations of Heilongjiang, Harbin University of Science and Technology, China
  • Robert J. Woodham Dept. of Computer Science, University of British Columbia, Canada V6T 1Z4
  • M. K. Bhuyan Dept. of Electronics and Electrical Engineering, IIT Guwahati, 781039 India
  • Kunio Kasugai Dept. of Gastroenterology, Aichi Medical University, 480-1195 Japan

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