The variability of wind and solar power is perceived as a major obstacle in employing otherwise abundant renewable energy resources. Based on the available geographically dispersed data for the WECC U.S. area (excluding Alaska) and eastern U.S., we analyze the extent to which the geographic diversity of these resources can offset their variability. The set of wind and PV sites that best matches...

We present a method for navigating in geometric models and enrich them with structure and context information. We offer dedicated views for this information, develop strategies to navigate in them and focus on the tight coupling between manipulations in these views. This coupling means that information in one view is emphasized in another view and requires an analysis of visibility and recogniz...

This work presents a Multi-View Stereo system for robust and efficient dense modeling from unstructured image collections. Our core contributions are the joint estimation of depth and normal information, pixelwise view selection using photometric and geometric priors, and a multi-view geometric consistency term for the simultaneous refinement and image-based depth and normal fusion. Experiments...

View synthesis prediction has been studied to achieve efficient inter-view prediction. Existing view synthesis prediction methods generate the predicted pictures by using pictures decoded at the other views and geometric information of the scene. However, it is difficult to obtain such geometric information correctly. In addition, these conventional methods have no ability to compensate the int...

Computational geometry is, in its broadest sense, the study of geometric problems from a computational point of view. At the core of the field is a set of techniques for the design and analysis of geometric algorithms. These algorithms often operate on, and are guided by, a set of data structures that are ubiquitous in geometric computing. These include arrangements, Voronoi diagrams, and Delau...

A version of non-stationary normal forms theory was recently obtained by M. Guysinsky and A. Katok, which has become an important ingredient in several recent investigations of rigidity of group actions. Our main aim is to explain their results, the sub-resonance normal forms and centralizer theorems, from a differential-geometric perspective.

In this work, we show the intrinsic relations between optimal transportation and convex geometry, especially the variational approach to solve Alexandrov problem: constructing a convex polytope with prescribed face normals and volumes. This leads to a geometric interpretation to generative models, and leads to a novel framework for generative models. By using the optimal transportation view of ...

In this paper, we consider multi-view imaging problems in which an ensemble of cameras collect images describing a common scene. To simplify the acquisition and encoding of these images, we study the effectiveness of non-collaborative compressive sensing encoding schemes wherein each sensor directly and independently compresses its image using randomized measurements. After these measurements a...

We have designed a new efficient dimensionality reduction algorithm in order to investigate new ways of accurately characterizing the biodiversity, namely from a geometric point of view, scaling with large environmental sets produced by NGS (∼ 10 sequences). The approach is based on Multidimensional Scaling (MDS) that allows for mapping items on a set of n points into a low dimensional euclidea...