Generalized Image Acquisition and Analysis

Volume Stylizer: Tomography-based Volume Painting

Volumetric phenomena are an integral part of standard rendering, yet, no suitable tools to edit characteristic properties are available so far. Either simulation results are used directly, or modifications are high-level, e.g., noise functions to influence appearance. Intuitive artistic control is not possible. We propose a solution to stylize single-scattering volumetric effects. Emission, scattering and extinction become amenable to artistic control while preserving a smooth and coherent appearance when changing the viewpoint. Our approach lets the user define a number of target views to be matched when observing the volume from this perspective. Via an analysis of the volumetric rendering equation, we can show how to link this problem to tomographic reconstruction.

Projects

Performance Capture of High-Speed Motion Using Staggered Multi-View Recording

Di Wu, Yebin Liu, Ivo Ihrke, Qionghai Dai, Christian Theobalt
Pacific Graphics 2012



Abstract

We present a markerless performance capture system that can acquire the motion and the texture of human actors performing fast movements using only commodity hardware. To this end we introduce two novel concepts: First, a staggered surround multi-view recording setup that enables us to perform model-based motion capture on motion-blurred images, and second, a model-based deblurring algorithm which is able to handle disocclusion, self-occlusion and complex object motions. We show that the model-based approach is not only a powerful strategy for tracking but also for deblurring highly complex blur patterns.
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Bibtex

@Article{Wu12,
author = {Di Wu and Yebin Liu and Ivo Ihrke and Qionghai Dai and Christian Theobalt},
title = {Performance Capture of High-Speed Motion Using Staggered Multi-View Recording},
journal = {Computer Graphics Forum},
volume = {31},
number = {7},
year = {2012},
pages = {2019--2028},
publisher = {Blackwell Publishing},
}
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