convert
发表于 2025-3-23 13:17:46
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noxious
发表于 2025-3-23 15:18:38
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道学气
发表于 2025-3-23 19:49:56
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果仁
发表于 2025-3-24 02:15:12
Advanced Procrustes Analysis Models in Photogrammetric Computer Vision978-3-030-11760-3Series ISSN 0254-1971 Series E-ISSN 2309-3706
erythema
发表于 2025-3-24 06:11:53
Bioinformatics and Translation Initiation,t squares (LS) Procrustes solutions find the transformation parameters between the two point sets assuming that all random errors are confined to the destination matrix ., whereas . is noise-free. However, this assumption is often unrealistic, since both . and . are corrupted by errors if they derive from measurements.
STEER
发表于 2025-3-24 08:52:24
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poliosis
发表于 2025-3-24 12:20:05
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anthesis
发表于 2025-3-24 15:18:21
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纯朴
发表于 2025-3-24 20:28:04
Advanced Procrustes Analysis Models in Photogrammetric Computer Vision
热心助人
发表于 2025-3-25 02:31:32
0254-1971 ls are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods..978-3-030-11760-3Series ISSN 0254-1971 Series E-ISSN 2309-3706