Euclidean Mean Error (EME): 6.9Accuracy at 1%: 6.0
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3D Dense Shape Correspondence
Finding a meaningful correspondence between two or more shapes is one of the most fundamental shape analysis tasks. The problem can be generally stated as: given input shapes S1,S2,...,SN, find a meaningful relation (or mapping) between their elements. Under different contexts, the problem has also been referred to as registration, alignment, or simply, matching. Shape correspondence is a key algorithmic component in tasks such as 3D scan alignment and space-time reconstruction, as well as an indispensable prerequisite in diverse applications including attribute transfer, shape interpolation, and statistical modeling.
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Euclidean Mean Error (EME): 5.6Accuracy at 1%: 15.3
Euclidean Mean Error (EME): 4.6Accuracy at 1%: 21.5
Euclidean Mean Error (EME): 8.1Accuracy at 1%: 2.1
Euclidean Mean Error (EME): 7.1Accuracy at 1%: 4.0
Euclidean Mean Error (EME): 1.7Accuracy at 1%: 26.4
Euclidean Mean Error (EME): 7.6Accuracy at 1%: 2.3
Euclidean Mean Error (EME): 4.5Accuracy at 1%: 21.5