Animation Cartography - Intrinsic Reconstruction of Shape and Motion
In this paper, we consider the problem of animation reconstruction, i.e., the
reconstruction of shape and motion of a deformable object from dynamic
3D scanner data, without using user provided template models. Unlike pre-
vious work that addressed this problem, we do not rely on locally conver-
gent optimization but present a system that can handle fast motion, tem-
porally disrupted input, and can correctly match objects that disappear for
extended time periods in acquisition holes due to occlusion. Our approach
is motivated by cartography: We first estimate a few landmark correspon-
dences, which are extended to a dense matching and then used to recon-
struct geometry and motion. We propose a number of algorithmic building
blocks: a scheme for tracking landmarks in temporally coherent and inco-
herent data, an algorithm for robust estimation of dense correspondences
under topological noise, and the integration of local matching techniques to
refine the result. We describe and evaluate the individual components and
propose a complete animation reconstruction pipeline based on these ideas.
We evaluate our method on a number of standard benchmark data sets and
show that we can obtain correct reconstructions in situations where other
techniques fail completely or require additional user guidance such as a
template model.
Projects

A Mathematical Model and Calibration Procedure for Galvanometric Laser Scanning Systems
In: Vision, Modeling, and Visualization (VMV 2011)
Abstract
Laser galvanometric scanning systems are commonly used in various fields such as three dimensional scanning,
medical imaging, material processing, measurement devices and laser display systems. The systems of such kind
suffer from distortions. On top of that they do not have a center of projection, which makes it impossible to use
common projector calibration procedures. The paper presents a novel mathematical model to predict the image
distortions caused by galvanometric mirror scanning systems. In addition, we describe a calibration procedure
for recovering its intrinsic and extrinsic parameters.
Bibtex
@InProceedings{Manakov11,
author = {Alkhazur Manakov and Hans-Peter Seidel and Ivo Ihrke},
title = "{A Mathematical Model and Calibration Procedure for Galvanometric Laser Scanning Systems}",
booktitle = {Proceedings of VMV},
pages = "207--214",
year = {2011},
}
author = {Alkhazur Manakov and Hans-Peter Seidel and Ivo Ihrke},
title = "{A Mathematical Model and Calibration Procedure for Galvanometric Laser Scanning Systems}",
booktitle = {Proceedings of VMV},
pages = "207--214",
year = {2011},
}