Volume 27, Number 2 (2019) Collection home page

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Collection's Items (Sorted by Submit Date in Descending order): 1 to 10 of 10
Organisciak, Daniel , Riachy, Chirine , Aslam, Nauman , Shum, Hubert P. H.
Triplet Loss with Channel Attention for Person Re-identification

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 ...

Katragadda, Sandeep
Identification of stereo rig alignment error based on vertical disparity map

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&#...

Zechmeister, Silvana , Cornel, Daniel , Waser, Jürgen
Annotations for Geospatial Decision Support Systems

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...

Lykke, Jesper Rask , Olsen, August Birk , Berman, Philip , Bærentzen, J. Andreas , Frisvad, Jeppe Revall
Accounting for Object Weight in Interaction Design for Virtual Reality

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 ...

Hauenstein, Jacob D. , Newman, Timothy S.
Exhibition and Evaluation of Two Schemes for Determining

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...

Wallelign, Serawork , Polceanu, Mihai , Jemal, Towfik , Buche, Cédric
Coffee Grading with Convolutional Neural Networks using Small Datasets with High Variance

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&...

Rotger, Gemma , Moreno-Noguer, Francesc , Lumbreras, Felipe , Agudo, Antonio
Detailed 3D Face Reconstruction from a Single RGB Image

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&#...

Cibulski, Lena , May, Thorsten , Preim, Bernhard , Bernard, Jürgen , Kohlhammer, Jörn
Visualizing Time Series Consistency for Feature Selection

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, ...

Listemann, Marc , Trapp, Matthias , Döllner, Jürgen
Lens-based Focus+Context Visualization Techniques for Interactive Exploration of Web-based Reachability Maps

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...

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Collection's Items (Sorted by Submit Date in Descending order): 1 to 10 of 10