Tensor Scale is a morphometric parameter that unifies the representation of local structure thickness, orientation, and anisotropy, which can be used in several image processing t...
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
In this paper, we address the topic of estimating two-frame dense optical flow from the monogenic curvature tensor. The monogenic curvature tensor is a novel image model, from whi...
Di Zang, Lennart Wietzke, Christian Schmaltz, Gera...
Abstract. We consider the problem of clustering data into k 2 clusters given complex relations -- going beyond pairwise -- between the data points. The complex n-wise relations ar...
Natural images are the composite consequence of multiple factors related to scene structure, illumination, and imaging. For facial images, the factors include different facial geo...