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Stereo Matching for Wireless Capsule Endoscopy Using Direct Attenuation Model

  • Min-Gyu Park
  • Ju Hong Yoon
  • Youngbae Hwang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11075)

Abstract

We propose a robust approach to estimate depth maps designed for stereo camera-based wireless capsule endoscopy. Since there is no external light source except ones attached to the capsule, we employ the direct attenuation model to estimate a depth map up to a scale factor. Afterward, we estimate the scale factor by using sparse feature correspondences. Finally, the estimated depth map is used to guide stereo matching to recover the detailed structure of the captured scene. We experimentally verify the proposed method with various images captured by stereo-type endoscopic capsules in the gastrointestinal tract.

Notes

Acknowledgment

This work was supported by ‘The Cross-Ministry Giga KOREA Project’ grant funded by the Korea government(MSIT) (No. K18P0200, Development of 4D reconstruction and dynamic deformable action model based hyper-realistic service technology) and a gift from Intromedic.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Intelligent Image Processing Research CenterKorea Electronics Technology Institute (KETI)GwangjuSouth Korea

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