Many shape analysis methods treat the geometry of an object as a metric space that can be
captured by the Laplace-Beltrami operator. In this paper, we propose to adapt the classical …

A fundamental tool in shape analysis is the virtual embedding of the Riemannian manifold
describing the geometry of a shape into Euclidean space. Several methods have been …

A popular approach for finding the correspondence between two nonrigid shapes is to
embed their two-dimensional surfaces into some common Euclidean space, defining the …

An important operation in geometry processing is finding the correspondences between pairs
of shapes. Measures of dissimilarity between surfaces, has been found to be highly useful …

Automatic estimation of skinning transformations is a popular way to deform a single reference
shape into a new pose by providing a small number of control parameters. We generalize …

Predicting the temporal dynamics of threedimensional images is an important means for
analyzing volumetric data. We propose an unsupervised learning of a multi-scale optical flow …

An important operation in geometry processing is finding the correspondences between
pairs of shapes. The Gromov-Hausdorff distance, a measure of dissimilarity between metric …

Recent years have witnessed a growing number of different descriptors for various shape
analysis tasks. These methods, inspired by their computer-vision counterparts, strive to capture …

A number of mosquito species avoid predator‐inhabited oviposition sites by detecting
predator‐released kairomones. In the laboratory, we found that when offered de‐ionized water …

Phosphorus (P) availability significantly impacts olive tree reproductive development and
consequential fruit production. However, the importance of P fertilization in olive cultivation is …