Sökning: "Anders Ynnerman"

Visar resultat 21 - 25 av 26 avhandlingar innehållade orden Anders Ynnerman.

  1. 21. Stereoscopic Label Placement : Reducing Distraction and Ambiguity in Visually Cluttered Displays

    Författare :Stephen D. Peterson; Anders Ynnerman; Matthew Cooper; John Wann; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Label placement; user interfaces; stereoscopic displays; augmented reality; virtual reality; visual clutter; Computer science; Datavetenskap;

    Sammanfattning : With increasing information density and complexity, computer displays may become visually cluttered, adversely affecting overall usability. Text labels can significantly add to visual clutter in graphical user interfaces, but are generally kept legible through specific label placement algorithms that seek visual separation of labels and other objects in the 2D view plane. LÄS MER

  3. 22. Supporting Quantitative Visual Analysis in Medicine and Biology in the Presence of Data Uncertainty

    Författare :Khoa Tan Nguyen; Timo Ropinski; Anders Ynnerman; Anna Vilanova Bartroli; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : The advents of technologies have led to tremendous increases in the diversity and size of the available data. In the field of medicine, the advancements in medical imaging technologies have dramatically improved the quality of the acquired data, such as a higher resolution and higher signal-to-noise ratio. LÄS MER

  4. 23. Designing for sketching to support concept exploration

    Författare :Danwei Tran Luciani; Jonas Lundberg; Jonas Löwgren; Patric Ljung; Anders Ynnerman; Erik Stolterman; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Sketching is a way of exploring early concepts through the act of externalization in a suitable material with the aid of a suitable tool. One could use paper and sketch with a pencil or go digital and sketch with code. What is appropriate to choose depends on the situation and on the skillset of the person who is going to sketch. LÄS MER

  5. 24. Synthetic data for visual machine learning : A data-centric approach

    Författare :Apostolia Tsirikoglou; Jonas Unger; Gabriel Eilertsen; Anders Ynnerman; Philipp Slusallek; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Training data; Synthetic images; Computer graphics; Generative modeling; Natural images; Histopathology; Digital pathology; Machine learning; Deep learning;

    Sammanfattning : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. LÄS MER

  7. 25. Incident Light Fields

    Författare :Jonas Unger; Anders Ynnerman; Reiner Lenz; Alan Chalmers; Linköpings universitet; []
    Nyckelord :Computer Graphics; Image Based Lighting; Photorealistic Rendering; Light Fields; High Dynamic Range Imaging; TECHNOLOGY; TEKNIKVETENSKAP;

    Sammanfattning : Image based lighting, (IBL), is a computer graphics technique for creating photorealistic renderings of synthetic objects such that they can be placed into real world scenes. IBL has been widely recognized and is today used in commercial production pipelines. However, the current techniques only use illumination captured at a single point in space. LÄS MER