3D geometric features constitute rich details of polygonal meshes. Their analysis and editing can lead to vivid appearance of shapes and better understanding of the underlying geometry for shape processing and analysis. Traditional mesh smoothing techniques mainly focus on noise filtering and they cannot distinguish different scales of features well, even mixing them up. We present an efficient method to process different scale geometric features based on a novel rolling-guidance normal filter. Given a 3D mesh, our method iteratively applies a joint bilateral filter to face normals at a specified scale, which empirically smooths small-scale geometric features while preserving large-scale features. Our method recovers the mesh from the filtered face normals by a modified Poisson-based gradient deformation that yields better surface quality than existing methods. We demonstrate the effectiveness and superiority of our method on a series of geometry processing tasks, including geometry texture removal and enhancement, coating transfer, mesh segmentation and level-of-detail meshing.

Amyloid fibrillation of proteins is a hallmark of neurodegenerative disease, accompanied by the formation of the organized cross‐β cores. This conformational transformation is considered to be related to the toxicity underlying the pathogenic mechanism. However, the exact conformational transformation kinetics of amyloid fibrillation are not fully understood. Herein, Raman spectroscopy was used to detect the transformation in the molecular structure of hen egg white lysozyme during amyloid formation under heat and acidic conditions (pH 2.0 and 65°C). The overall kinetics of the hen egg white lysozyme conformational change were investigated by analyzing five characteristic spectral fingerprints. The two N–Cα–C stretching bands at 899 and 935 cm−1 and the amide I band (at 1,640–1,680 cm−1) correlated to the lysozyme skeleton structure, whereas the band of the Phe amino acid group in side chains at 1,003 cm−1 and the two Trp residue bands at 760 and 1,340–1,360 cm−1 were associated with the tertiary structure. Based on these results, a four‐stage step‐by‐step transformation mechanism is first proposed to describe the exact kinetics of lysozyme amyloid fibrillation under heat and acidic conditions. This provides necessary information for physiologists to artificially control the amyloid formation of neurodegenerative disease patients.

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