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SU‐E‐J‐128: 3D Surface Reconstruction of a Patient Using Epipolar Geometry
Author(s) -
Kotoku J,
Nakabayashi S,
Haga A,
Kumagai S,
Ishibashi T,
Arai N,
Saotome N,
Kobayashi T
Publication year - 2014
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4888180
Subject(s) - epipolar geometry , computer vision , artificial intelligence , bundle adjustment , ransac , 3d reconstruction , fundamental matrix (linear differential equation) , surface reconstruction , reprojection error , iterative reconstruction , computer science , scale invariant feature transform , rotation (mathematics) , mathematics , photogrammetry , surface (topology) , geometry , image (mathematics) , mathematical analysis
Purpose: To obtain a 3D surface data of a patient in a non‐invasive way can substantially reduce the effort for the registration of patient in radiation therapy. To achieve this goal, we introduced the multiple view stereo technique, which is known to be used in a “photo tourism” on the internet. Methods: 70 Images were taken with a digital single‐lens reflex camera from different angles and positions. The camera positions and angles were inferred later in the reconstruction step. A sparse 3D reconstruction model was locating by SIFT features, which is robust for rotation and shift variance, in each image. We then found a set of correspondences between pairs of images by computing the fundamental matrix using the eight‐point algorithm with RANSAC. After the pair matching, we optimized the parameter including camera positions to minimize the reprojection error by use of bundle adjustment technique (non‐linear optimization). As a final step, we performed dense reconstruction and associate a color with each point using the library of PMVS. Results: Surface data were reconstructed well by visual inspection. The human skin is reconstructed well, althogh the reconstruction was time‐consuming for direct use in daily clinical practice. Conclusion: 3D reconstruction using multi view stereo geometry is a promising tool for reducing the effort of patient setup. This work was supported by JSPS KAKENHI(25861128).