Non-Rigid Range-Scan Alignment Using Thin-Plate Splines Export

@inproceedings{Brown04, abstract = {We present a non-rigid alignment algorithm for aligning high-resolution range data in the presence of low-frequency deformations, such as those caused by scanner calibration error. Traditional iterative closest points (ICP) algorithms, which rely on rigid-body alignment, fail in these cases because the error appears as a non-rigid warp in the data. Our algorithm combines the robustness and efficiency of ICP with the expressiveness of thin-plate splines to align high-resolution scanned data accurately, such as scans from the Digital Michelangelo Project [The Digital Michelangelo Project: 3-D scanning of large statues]. This application is distinguished from previous uses of the thin-plate spline by the fact that the resolution and size of warping are several orders of magnitude smaller than the extent of the mesh, thus requiring especially precise feature correspondence.}, address = {Washington, DC, USA}, author = {Brown, B. J. and Rusinkiewicz, S.}, booktitle = {3DPVT '04: Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium}, citeulike-article-id = {6042272}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1018408.1018699}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/3DPVT.2004.88}, doi = {10.1109/3DPVT.2004.88}, isbn = {0-7695-2223-8}, keywords = {alignment, feature-based, non-rigid-registration, point-based, point-set, range-data, registration, tps}, pages = {759--765}, posted-at = {2009-10-30 12:05:26}, priority = {2}, publisher = {IEEE Computer Society}, title = {Non-Rigid Range-Scan Alignment Using Thin-Plate Splines}, url = {http://dx.doi.org/10.1109/3DPVT.2004.88}, year = {2004} }

TY - CONF ID - Brown04 L3 - citeulike-article-id:6042272 N2 - We present a non-rigid alignment algorithm for aligning high-resolution range data in the presence of low-frequency deformations, such as those caused by scanner calibration error. Traditional iterative closest points (ICP) algorithms, which rely on rigid-body alignment, fail in these cases because the error appears as a non-rigid warp in the data. Our algorithm combines the robustness and efficiency of ICP with the expressiveness of thin-plate splines to align high-resolution scanned data accurately, such as scans from the Digital Michelangelo Project [The Digital Michelangelo Project: 3-D scanning of large statues]. This application is distinguished from previous uses of the thin-plate spline by the fact that the resolution and size of warping are several orders of magnitude smaller than the extent of the mesh, thus requiring especially precise feature correspondence. SN - 0-7695-2223-8 AD - Washington, DC, USA EP - 765 TI - Non-Rigid Range-Scan Alignment Using Thin-Plate Splines PB - IEEE Computer Society T2 - 3DPVT '04: Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium SP - 759 KW - alignment KW - feature-based KW - non-rigid-registration KW - point-based KW - point-set KW - range-data KW - registration KW - tps AU - Brown, BJ AU - Rusinkiewicz, S PY - 2004/// UR - http://dx.doi.org/10.1109/3DPVT.2004.88 ER -