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Poster
Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscopy
- Citation Author(s):
- Submitted by:
- Christian Daul
- Last updated:
- 11 September 2019 - 11:39am
- Document Type:
- Poster
- Document Year:
- 2019
- Event:
- Presenters:
- Tan-Binh Phan
- Paper Code:
- 1132
- Categories:
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This paper introduces a structure from motion (SfM)-based surface reconstruction method for images including weak textures and structures. In SfM, the quality of the determination of homologous points between images plays a key role in terms of reconstruction performances. However, classical feature matching-based methods as integrated in the state-ofthe-art SfM algorithms are often inoperative for images with weak structures and textures. This contribution describes a dense optical flow-based solution enabling the point correspondence determination in such scenes. The accuracy and robustness of the proposed method were validated using results obtained for a phantom with known dimensions and with real medical data, respectively. Complex internal stomach wall surfaces were constructed using gastroscopic images.
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