Now showing items 1-5 of 5

    • Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting 

      Diehl, Alexandra; Pelorosso, Leandro; Delrieux, Claudio; Matkovic, Kresimir; Ruiz, Juan; Gröller, M. Eduard; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Probabilistic weather forecasts are amongst the most popular ways to quantify numerical forecast uncertainties. The analog regression method can quantify uncertainties and express them as probabilities. The method comprises ...
    • Efficient Gradient-Domain Compositing Using an Approximate Curl-free Wavelet Projection 

      Ren, Xiaohua; Luan, Lyu; He, Xiaowei; Zhang, Yanci; Wu, Enhua (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Gradient-domain compositing has been widely used to create a seamless composite with gradient close to a composite gradient field generated from one or more registered images. The key to this problem is to solve a Poisson ...
    • High-resolution 360 Video Foveated Stitching for Real-time VR 

      Lee, Wei-Tse; Chen, Hsin-I; Chen, Ming-Shiuan; Shen, I-Chao; Chen, Bing-Yu (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      In virtual reality (VR) applications, the contents are usually generated by creating a 360 video panorama of a real-world scene. Although many capture devices are being released, getting high-resolution panoramas and ...
    • Photometric Stabilization for Fast-forward Videos 

      Zhang, Xuaner; Lee, Joon-Young; Sunkavalli, Kalyan; Wang, Zhaowen (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Videos captured by consumer cameras often exhibit temporal variations in color and tone that are caused by camera autoadjustments like white-balance and exposure. When such videos are sub-sampled to play fast-forward, as ...
    • A Probabilistic Framework for Component-based Vector Graphics 

      Lieng, Henrik (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      We propose a framework for data-driven manipulation and synthesis of component-based vector graphics. Using labelled vector graphical images of a given type of object as input, our processing pipeline produces training ...