Posespace Pdf __link__ [2026 Edition]

Treats the set of all training pose deformations as a high-dimensional vector space. Applies Principal Component Analysis (PCA) to find a low-dimensional subspace (e.g., 20 eigen-poses out of 200 samples). Runtime deformation = base LBS + linear combination of eigen-correctives.

To get the most out of your digital reference library, optimize your viewing environment: posespace pdf