Sökning: "Anders Ynnerman"
Visar resultat 16 - 20 av 26 avhandlingar innehållade orden Anders Ynnerman.
16. Direct Volume Haptics for Visualization
Sammanfattning : Visualization is the process of making something perceptible to the mind or imagination. The techniques for producing visual imagery of volumetric data have advanced immensely during the last decades to a point where each produced image can include an overwhelming amount of information. LÄS MER
17. Efficient Medical Volume Visualization : An Approach Based on Domain Knowledge
Sammanfattning : Direct Volume Rendering (DVR) is a visualization technique that has proved to be a very powerful tool in many scientific visualization applications. Diagnostic medical imaging is one domain where DVR could provide clear benefits in terms of unprecedented possibilities for analysis of complex cases and highly efficient work flow for certain routine examinations. LÄS MER
18. Guidance and Visualization for Brain Tumor Surgery
Sammanfattning : Image guidance and visualization play an important role in modern surgery to help surgeons perform their surgical procedures. Here, the focus is on neurosurgery applications, in particular brain tumor surgery where a craniotomy (opening of the skull) is performed to access directly the brain region to be treated. LÄS MER
19. Sparse representation of visual data for compression and compressed sensing
Sammanfattning : The ongoing advances in computational photography have introduced a range of new imaging techniques for capturing multidimensional visual data such as light fields, BRDFs, BTFs, and more. A key challenge inherent to such imaging techniques is the large amount of high dimensional visual data that is produced, often requiring GBs, or even TBs, of storage. LÄS MER
20. Data Abstraction and Pattern Identification in Time-series Data
Sammanfattning : Data sources such as simulations, sensor networks across many application domains generate large volumes of time-series data which exhibit characteristics that evolve over time. Visual data analysis methods can help us in exploring and understanding the underlying patterns present in time-series data but, due to their ever-increasing size, the visual data analysis process can become complex. LÄS MER