The triplet loss function has seen extensive use within person re-identification. Most works focus on either improving the mining algorithm or adding new terms to the loss function itself. Our work instead concentrates on two other core components of the triplet loss that have ...

Poor quality of 3D video content can lead to headache, blurry vision and overall exhaustive experience for the viewer. To ensure quality and comfortable 3D experience for the end consumer, common production errors must be detected and corrected. Vertical disparity is one of these&#...

In virtual 3D environments, it is easy to lose orientation while navigating or changing the view with zooming and panning operations. In the real world, annotated maps are an established tool to orient oneself in large and unknown environments. The use of annotations and landm...

Interaction design for virtual reality (VR) rarely takes the weight of an object – let alone its moment of inertia –into account. This clearly reduces user immersion and could lead to a break-in-presence. In this work, we propose methods for providing a higher fidelity in ...

Advancements in methodologies for determining 3-dimensional manifold (hypersurface) curvature in volumetric data are presented. Such determinations are requisite in certain shape-based visualization and analysis tasks. The methods explored here are convolution-based approaches. In addition to motivating and des...

Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Despite their success in other areas, CNNs have been applied only for very limited agricultural applications due to the need for large datasets. The aim of this&...

This paper introduces a method to obtain a detailed 3D reconstruction of facial skin from a single RGB image. To this end, we propose the exclusive use of an input image without requiring any information about the observed material nor training data to model the wrinkle&#...

Feature selection is an effective technique to reduce dimensionality, for example when the condition of a system is to be understood from multivariate observations. The selection of variables often involves a priori assumptions about underlying phenomena. To avoid the associated uncertainty, ...

Reachability maps are powerful means to help making location-based decisions, such as choosing convenient sites for subsidiaries or planning vacation trips. Existing visualization approaches, however, introduce drawbacks concerning an effective acquisition of relevant information and an efficient data proc...