A Spectral Correspondence for Maa� Waveforms

1999 ◽  
Vol 9 (6) ◽  
pp. 1128-1155 ◽  
Author(s):  
J. Bolte ◽  
S. Johansson
Keyword(s):  
Spectral Correspondence

Spectral Correspondence Framework for Building a 3D Baby Face Model

2020 ◽  
Author(s):  
Araceli Morales ◽  
Antonio R. Porras ◽  
Liyun Tu ◽  
Marius George Linguraru ◽  
Gemma Piella ◽  
...  
Keyword(s):  
Face Model ◽  
Spectral Correspondence

Spectral Correspondence Using the TPS Deformation Model

2007 ◽  
pp. 572-581
Author(s):  
Jun Tang ◽  
Nian Wang ◽  
Dong Liang ◽  
Yi-Zheng Fan ◽  
Zhao-Hong Jia
Keyword(s):  
Deformation Model ◽  
Spectral Correspondence

scholarly journals DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation

2017 ◽  
Vol 39 (9) ◽  
pp. 1712-1729 ◽  
Author(s):  
Seungryong Kim ◽  
Dongbo Min ◽  
Bumsub Ham ◽  
Minh N. Do ◽  
Kwanghoon Sohn
Keyword(s):  
Spectral Correspondence

NON-RIGID SPECTRAL CORRESPONDENCE OF TRIANGLE MESHES

2007 ◽  
Vol 13 (01) ◽  
pp. 101-124 ◽  
Author(s):  
VARUN JAIN ◽  
HAO ZHANG ◽  
OLIVER VAN KAICK
Keyword(s):  
Triangle Meshes ◽  
Spectral Correspondence

Spectral Correspondence for Point Pattern Matching Combined with Analysis of Geometric Consistency

2012 ◽  
Vol 32 (7) ◽  
pp. 0715001
Author(s):  
唐俊 Tang Jun ◽  
黄煌 Huang Huang ◽  
梁栋 Liang Dong ◽  
王年 Wang Nian
Keyword(s):  
Pattern Matching ◽  
Point Pattern ◽  
Point Pattern Matching ◽  
Geometric Consistency ◽  
Spectral Correspondence

Orientation-Preserving Spectral Correspondence for 3D Shape Analysis

2020 ◽  
Vol 64 (1) ◽  
pp. 10501-1-10501-13
Author(s):  
Li Han ◽  
Shuning Liu ◽  
Bing Yu ◽  
Shengsi Xu ◽  
Rui Xiang
Keyword(s):  
Shape Analysis ◽  
Three Dimensional ◽  
Laplacian Matrix ◽  
Geometric Feature ◽  
3D Shape ◽  
Intrinsic Symmetry ◽  
Deformable Shapes ◽  
3D Shape Analysis ◽  
Spectral Correspondence ◽  
Symmetry Structure

Abstract In this article, the authors present an orientation-preserving spectral correspondence for three-dimensional (3D) shape analysis, which is robust and efficient for topological and deformable changes, even for non-isometric shapes. Our technique introduces an optimal spectral representation by combining the eigendecomposition with principal components analysis (PCA) to the heat kernel Laplacian matrix, and we further propose an efficient symmetry detection method based on so-called dominant eigenfunctions. Finally, a 3D descriptor encoding intrinsic symmetry structure and local geometric feature is constructed which effectively reveals the consistent structure between the deformable shapes. Consequently, sufficient orientation-preserving correspondence can be established in our embedding space. Experimental results showed that our method produces stable matching results in comparison with state-of-the-art methods.

Spectral correspondence between visual spectral sensitivity and bioluminescence emission spectra in the click beetle Pyrophorus punctatissimus (Coleoptera: Elateridae)

2000 ◽  
Vol 46 (7) ◽  
pp. 1137-1141 ◽  
Author(s):  
Abner B Lall ◽  
Dora S.F Ventura ◽  
Etelvino J.H Bechara ◽  
John M de Souza ◽  
Pio Colepicolo-Neto ◽  
...  
Keyword(s):  
Spectral Sensitivity ◽  
Emission Spectra ◽  
Click Beetle ◽  
Spectral Correspondence ◽  
Visual Spectral Sensitivity
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