Zobrazeno 1 - 10
of 123
pro vyhledávání: '"iterative closest points"'
Publikováno v:
口腔疾病防治, Vol 32, Iss 9, Pp 702-708 (2024)
Objective To compare the accuracy of the original-mirror alignment algorithm and a landmark-independent method in constructing the midsagittal plane (MSP) of the cone beam computed tomography in patients with facial deformities, so as to provide a th
Externí odkaz:
https://doaj.org/article/ce1f27c2abde4e19a022aa6f82f28e9d
Akademický článek
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Publikováno v:
3D Printing in Medicine, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract Bone tissue engineering strategies aimed at treating critical-sized craniofacial defects often utilize novel biomaterials and scaffolding. Rapid manufacturing of defect-matching geometries using 3D-printing strategies is a promising strategy
Externí odkaz:
https://doaj.org/article/0d46ccfdd4b14abba4d294ec2487aafd
Publikováno v:
Animals, Vol 13, Iss 3, p 385 (2023)
In landmark-based analyses of size and shape variation and covariation among biological structures, regions lacking clearly identifiable homologous landmarks are commonly described by semilandmarks. Different algorithms may be used to apply semilandm
Externí odkaz:
https://doaj.org/article/09b3b7e3d2e5499cb8271db3ab845a24
Publikováno v:
Компьютерная оптика, Vol 44, Iss 1, Pp 67-73 (2020)
An efficient algorithm for registration of two non-rigid objects based on geometrical transformation of the template object to target object is proposed. The transformation is considered as warping of the template onto the target. To choose the most
Externí odkaz:
https://doaj.org/article/5a42038900424e75b7e911b3cab07394
Publikováno v:
IEEE Access, Vol 8, Pp 193578-193592 (2020)
Compared with the registration methods based on local optimizations, the heuristic registration methods are less sensitive to the initial position, and a reasonable bound range is essential to ensure the registration validity. In practice, compared w
Externí odkaz:
https://doaj.org/article/e3d5e14b51024626bfc4e0ec544226ef
Publikováno v:
Mathematics, Vol 11, Iss 1, p 35 (2022)
Point cloud collection forming a 3D scene typically uses information from multiple data scans. The common approach is to register the point cloud pairs consequentially using a variant of the iterative closest point (ICP) algorithm, but most versions
Externí odkaz:
https://doaj.org/article/552a44501f274d17a1648104ae948fef
Publikováno v:
Mathematics, Vol 9, Iss 20, p 2589 (2021)
The registration of point clouds in a three-dimensional space is an important task in many areas of computer vision, including robotics and autonomous driving. The purpose of registration is to find a rigid geometric transformation to align two point
Externí odkaz:
https://doaj.org/article/b2ae99767795471b88c7b891caf24c3b
Akademický článek
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Publikováno v:
Assembly Automation, 2016, Vol. 36, Issue 2, pp. 159-171.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AA-11-2015-103