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Oliver Fleischmann

dblp:12/1966 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Image and video processing · 54% Multimedia analysis and retrieval · 46%
Theoretical computer science
1 paper
Computational geometry · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry › differential geometry
conformal geometry
0.112009
The geometry of 2D image signals · CVPR 2009
Multimedia analysis and retrieval
image analysis
0.112008
2D Image Analysis by Generalized Hilbert Transforms in Conformal Space · ECCV (2) 2008

Methods — techniques the papers use, named apart from their topics

monogenic signal · 0.2local phase analysis · 0.2
YearPublicationVenuePosition
2016 Fast projector-camera calibration for interactive projection mapping
abstract
We propose a fast calibration method for projector-camera pairs which does not require any special calibration objects or initial estimates of the calibration parameters. Our method is based on a structured light approach to establish correspondences between the camera and the projector view. Using the vanishing points in the camera and the projector view the internal as well as the external calibration parameters are estimated. In addition, we propose an interactive projection mapping scheme which allows the user to directly place two-dimensional media elements in the tangent planes of the target surface without any manual perspective corrections.
Oliver Fleischmann, Reinhard Koch
ICPR1
2009 The geometry of 2D image signals
abstract
This paper covers a fundamental problem of local phase based signal processing: the isotropic generalization of the classical 1D analytic signal to two dimensions. The well known analytic signal enables the analysis of local phase and amplitude information of 1D signals. Local phase, amplitude and additional orientation information can be extracted by the 2D monogenic signal with the restriction to the subclass of intrinsically one dimensional signals. In case of 2D image signals the monogenic signal enables the rotationally invariant analysis of lines and edges. In this work we present the 2D analytic signal as a novel generalization of both the analytic signal and the 2D monogenic signal. In case of 2D image signals the 2D analytic signal enables the isotropic analysis of lines, edges, corners and junctions in one unified framework. Furthermore, we show that 2D signals exist per se in a 3D projective subspace of the homogeneous conformal space which delivers a descriptive geometric interpretation of signals providing new insights on the relation of geometry and 2D signals.
Lennart Wietzke, Gerald Sommer, Oliver Fleischmann
CVPR3
2008 2D Image Analysis by Generalized Hilbert Transforms in Conformal Space
Lennart Wietzke, Oliver Fleischmann, Gerald Sommer
ECCV (2)2