Paper
11 December 2012 3D reconstruction for endoscopic environment based on optical tracker
Bo Yang, Ya Zhou, Xiaoming Hu, Junqin Lin, Qiaona Xing
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Abstract
3D reconstruction, an important point in computer vision, has a promising application potential in endoscopic-assisted minimally invasive surgery. In this paper, a 3D reconstruction method based on image sequences is proposed, in which the improved SIFT feature is applied for point extraction and matching, as well as an optical tracker is used to get the orientation of the camera in real time. The proposed approach is evaluated on sequence digital images gotten from an 1394 camera and the experimental results show that the proposed approach is effective.
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Bo Yang, Ya Zhou, Xiaoming Hu, Junqin Lin, and Qiaona Xing "3D reconstruction for endoscopic environment based on optical tracker", Proc. SPIE 8553, Optics in Health Care and Biomedical Optics V, 85531J (11 December 2012); https://doi.org/10.1117/12.999946
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KEYWORDS
3D modeling

Cameras

Reconstruction algorithms

Optical tracking

Clouds

Detection and tracking algorithms

Endoscopy

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