Technical Papers
Image-Based Reconstruction
Tuesday, 23 July 2:00 PM - 3:30 PM
Session Chair: Wojciech Matusik, Massachusetts Institute of Technology
Scene Reconstruction From High Spatio-Angular Resolution Light Fields
This paper describes an efficient method for scene reconstruction and representation of complex, detailed environments from high spatio-angular-resolution light fields.
Changil Kim
ETH Zürich, Disney Research Zürich
Henning Zimmer
ETH Zürich
Yael Pritch
Disney Research Zürich
Alexander Sorkine-Hornung
Disney Research Zürich
Markus Gross
ETH Zürich, Disney Research Zürich
Image-Based Reconstruction and Synthesis of Dense Foliage
A method for reconstructing and synthesizing dense foliage from images. Starting with point-cloud data from multi-view stereo, the method iteratively fits an exemplar leaf to the points. A statistical model of leaf shape and appearance is used to synthesize new leaves of the captured species.
Derek Bradley
Disney Research Zürich
Derek Nowrouzezahrai
Université de Montréal
Paul Beardsley
Disney Research Zürich
Dynamic Hair Manipulation in Images and Videos
This single-view hair-modeling technique for generating visually and physically plausible 3D hair models with modest user interaction enables hair manipulation in many new ways that were previously difficult with a single image, such as dynamic simulation and hair editing in videos.
Menglei Chai
Zhejiang University
Lvdi Wang
Microsoft Research Asia
Yanlin Weng
Zhejiang University
Xiaogang Jin
Zhejiang University
Kun Zhou
Zhejiang University
Structure-Aware Hair Capture
A system that reconstructs coherent and plausible wisps with awareness of the underlying hair structures from a set of images of complex hairstyle. The reconstructed wisps can synthesize hair strands that are plausible for hair simulation and animation.
Linjie Luo
Princeton University
Hao Li
University of Southern California, Industrial Light & Magic
Szymon Rusinkiewicz
Princeton University