Uncertainty in visualization is an inevitable issue for sensemaking in criminal intelligence Accuracy and precision of adopted visualization techniques have got greater role in trustworthiness with the system while finding out insights from crime related dataset In this paper, we have presented a case study to introduce concepts of uncertainty and provenan
We present a method to derive a time-evolving triangle mesh representation from a sequence of binary volumetric data representing an arbitrary motion Multi-view reconstruction studios use a multiple camera set to turn an actors performance into a time series of visual hulls However, the reconstructed sequence lacks temporal coherence as each frame is gen
We present a method to derive a time-evolving triangle mesh representation from a sequence of binary volumetric data representing an arbitrary motion Multi-view reconstruction studios use a multiple camera set to turn an actors performance into a time series of visual hulls However, the reconstructed sequence lacks temporal coherence as each frame is gen
The tandem algorithm combines the marching cube algorithm for surface extraction and the edge contraction algorithm for surface simplification in lock-step to avoid the costly intermediate step of storing the entire extracted surface triangulation Beyond this basic strategy, we introduce refinements to prevent artifacts in the resulting triangulation, first
Freitag:
Wirtschaft > Marketing & Werbung > M
Extraction and Simplification of Iso-surfaces in T
The tandem algorithm combines the marching cube algorithm for surface extraction and the edge contraction algorithm for surface simplification in lock-step to avoid the costly intermediate step of storing the entire extracted surface triangulation Beyond this basic strategy, we introduce refinements to prevent artifacts in the resulting triangulation, first
Freitag:
Wirtschaft > Marketing & Werbung > M
Extraction and Simplification of Iso-surfaces in T
Large-scale time-varying volume data sets can take terabytes to petabytes of storage space to store and process One promising approach is to process the data in parallel, and then extract and analyze only features of interest, reducing required memory space by several orders of magnitude for following visualization tasks However, extracting volume features
Large-scale time-varying volume data sets can take terabytes to petabytes of storage space to store and process One promising approach is to process the data in parallel, and then extract and analyze only features of interest, reducing required memory space by several orders of magnitude for following visualization tasks However, extracting volume features
In this work we address part-based object detection under variability of part shapes and spatial relations Our approach bases on the hierarchical finite element modeling concept of Engel and Tönnies [ET09a, ET09b] They model object parts by elastic materials, which adapt to image structures via image-derived forces Spatial part relations are realized thro
In this paper, we visually analyze spatio-temporal patterns of different hydrologic parameters relevant for flooding On the basis of data from climate simulations with a high resolution regional atmosphere model, several extreme events are selected for different river catchments in Germany By visually comparing the spatial distribution of the main contribu
In recent years, climate prediction systems based on coupled climate models are used for investigating the climate predictability on a decadal time scale Based on ensemble simulation techniques applied and hindcast experiments carried out first, the predictive skill of a system can be derived The ensemble simulations used for the decadal climate prediction
Climate simulations range from projections with global coupled models of the earth system down to simulations of small scale phenomena, and can cover time scales between seconds up to thousands of years This work focusses on urban climate simulations and discusses best practices for the visualization and analysis of such data sets For this task, only state
Climate simulations range from projections with global coupled models of the earth system down to simulations of small scale phenomena, and can cover time scales between seconds up to thousands of years This work focusses on urban climate simulations and discusses best practices for the visualization and analysis of such data sets For this task, only state
In this paper, we visually analyze spatio-temporal patterns of different hydrologic parameters relevant for flooding On the basis of data from climate simulations with a high resolution regional atmosphere model, several extreme events are selected for different river catchments in Germany By visually comparing the spatial distribution of the main contribu
The icosahedral non-hydrostatic (ICON) model is a digital Earth model based on an icosahedral representation and used for numerical weather prediction In this paper, we introduce icosahedral maps that are designed to fit the geometry of different cell configurations in the ICON model These maps represent the connectivity information in ICON in a highly str
Due to the nutrient-rich water transported to the upper layer of the ocean, coastal upwelling systems are regions especially important for marine life and fishery In this work, we focus on a visual analysis of the spatio-temporal structure of the Benguela upwelling system using pathline predicates Based on the 3D flow field from an ocean model simulation,
In recent years, climate prediction systems based on coupled climate models are used for investigating the climate predictability on a decadal time scale Based on ensemble simulation techniques applied and hindcast experiments carried out first, the predictive skill of a system can be derived The ensemble simulations used for the decadal climate prediction
Freitag:
Wirtschaft > Marketing & Werbung > M
Visualization of 2D Uncertainty in Decadal Climate
Climate simulations range from projections with global coupled models of the earth system down to simulations of small scale phenomena, and can cover time scales between seconds up to thousands of years This work focusses on urban climate simulations and discusses best practices for the visualization and analysis of such data sets For this task, only state
With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is becoming increasingly prevalent Therefore, the need for shape retrieval algorithms to handle large-scale shape repositories is more and more important This track provides a benchmark to evaluate large-scale 3D shape retrieval based on the ShapeNet dataset I
With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is becoming increasingly prevalent Therefore, the need for shape retrieval algorithms to handle large-scale shape repositories is more and more important This track aims to provide a benchmark to evaluate large-scale shape retrieval based on the ShapeNet datase
Monocular image based 3D object retrieval is a novel and challenging research topic in the field of 3D object retrieval Given a RGB image captured in real world, it aims to search for relevant 3D objects from a dataset To advance this promising research, we organize this SHREC track and build the first monocular image based 3D object retrieval benchmark by
Monocular image based 3D object retrieval has attracted more and more attentions in the field of 3D object retrieval However, the research of 3D object retrieval based on 2D image is still challenging, mainly because of the gap between data from different modalities To further support this research, we extend the previous track SHREC19MI3DOR to organize
Monocular image based 3D object retrieval has attracted more and more attentions in the field of 3D object retrieval However, the research of 3D object retrieval based on 2D image is still challenging, mainly because of the gap between data from different modalities To further support this research, we extend the previous track SHREC19MI3DOR to organize
Monocular image based 3D object retrieval has attracted more and more attentions in the field of 3D object retrieval However, the research of 3D object retrieval based on 2D image is still challenging, mainly because of the gap between data from different modalities To further support this research, we extend the previous track SHREC19MI3DOR to organize
We present the first 3D morphable model that includes the eyes, enabling gaze estimation and gaze re-targetting from a single image Morphable face models are a powerful tool and are used for a range of tasks including avatar animation and facial expression transfer However, previous work has avoided the eyes, even though they play an important role in huma
We present the first 3D morphable model that includes the eyes, enabling gaze estimation and gaze re-targetting from a single image Morphable face models are a powerful tool and are used for a range of tasks including avatar animation and facial expression transfer However, previous work has avoided the eyes, even though they play an important role in huma
Die IKEA-Möbelhäuser gibt es in Deutschland mittlerweile seit 50 Jahren, eigentlich unfassbar Was haben wir den Läden alles zu verdanken oder auch nicht
Am Wochenende mal richtig schön kochen Das klingt immer so romantisch Und dann fallen einem doch noch andere Dinge ein, de man am Wochenende machen will
The main focus of the preliminary work presented here is the automatic real-time annotation (detection and tracking) of the important structures seen in an ultrasound image taken from a femoral nerve block, ie the femoral artery, the facias (lata and illiaca) and the femoral nerve
Freitag:
Wirtschaft > Marketing & Werbung > M
Automatic Real-time Annotation of Important Landma
The main focus of the preliminary work presented here is the automatic real-time annotation (detection and tracking) of the important structures seen in an ultrasound image taken from a femoral nerve block, ie the femoral artery, the facias (lata and illiaca) and the femoral nerve
We present a visualization system for the analysis of multi-modal segmentation data of brain tumors Our system is designed to allow researchers and doctors a further investigation of segmented tumor data beyond a quantitative assessment of size This includes the efficient visual analysis of the shape and relative position of the different, often overlappin
We present a visualization system for the analysis of multi-modal segmentation data of brain tumors Our system is designed to allow researchers and doctors a further investigation of segmented tumor data beyond a quantitative assessment of size This includes the efficient visual analysis of the shape and relative position of the different, often overlappin
