Technical Papers

    Rendering and Thinking Inside the Box

    Friday, 22 November

    14:15 - 16:00

    Convention Hall B

    Bilateral Blue Noise Sampling

    Bilateral blue noise modulates traditional sample spacing criteria with a similarity measure that considers both spatial and non-spatial attributes. Our method generalizes traditional blue noise to benefit applications such as point cloud sampling, biological distribution, and photon density estimation.

    Jiating Chen, Tsinghua University
    Xiaoyin Ge, The Ohio State University
    Li-Yi Wei, The University of Hong Kong/Microsoft Research
    Bin Wang, Tsinghua University
    Yusu Wang, The Ohio State University
    Huamin Wang, The Ohio State University
    Yun Fei, Tsinghua University
    Kang-Lai Qian, Tsinghua University
    Jun-Hai Yong, Tsinghua University
    Wenping Wang, The University of Hong Kong

    Halftone QR Codes

    We propose an automatic algorithm to produce high quality visual QR codes, which we call halftone QR codes, that are still machine-readable.

    Hung-Kuo Chu, National Tsing Hua University
    Chia-Sheng Chang, National Tsing Hua University
    Ruen-Rone Lee, National Tsing Hua University
    Niloy J. Mitra, University College London

    Interactive By-example Design of Artistic Packing Layouts

    We propose an approach to "pack" a set of two-dimensional graphical primitives into a spatial layout that follows artistic goals. We formalize this process as projecting from a high-dimensional feature space into a 2D layout

    Bernhard Reinert, Max-Planck-Institute Informatik
    Tobias Ritschel, Max-Planck-Institute Informatik, Cluster of Excellance - MMCI / Saarland University
    Hans-Peter Seidel, Max-Planck-Institute Informatik

    Biharmonic diffusion curve images from boundary elements

    We present a Boundary Element Method (BEM) for rendering diffusion curve images with smooth interpolation and gradient constraints, which generates a solved boundary element representation. The diffusion curve image can be evaluated from the solved representation using a line-by-line approach or a curve-aware upsampling approach.

    Peter Ilbery, Canon Information Systems Research Australia
    Luke Kendall, Canon Information Systems Research Australia
    Cyril Concolato, Telecom ParisTech
    Michael McCosker, Canon Information Systems Research Australia