Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Kluger, Florian"'
Describing a scene in terms of primitives -- geometrically simple shapes that offer a parsimonious but accurate abstraction of structure -- is an established vision problem. This is a good model of a difficult fitting problem: different scenes requir
Externí odkaz:
http://arxiv.org/abs/2405.19569
Humans perceive and construct the world as an arrangement of simple parametric models. In particular, we can often describe man-made environments using volumetric primitives such as cuboids or cylinders. Inferring these primitives is important for at
Externí odkaz:
http://arxiv.org/abs/2403.10452
Autor:
Kluger, Florian, Rosenhahn, Bodo
We present a real-time method for robust estimation of multiple instances of geometric models from noisy data. Geometric models such as vanishing points, planar homographies or fundamental matrices are essential for 3D scene analysis. Previous approa
Externí odkaz:
http://arxiv.org/abs/2401.14919
Humans perceive and construct the surrounding world as an arrangement of simple parametric models. In particular, man-made environments commonly consist of volumetric primitives such as cuboids or cylinders. Inferring these primitives is an important
Externí odkaz:
http://arxiv.org/abs/2105.02047
Autor:
Kluger, Florian, Brachmann, Eric, Ackermann, Hanno, Rother, Carsten, Yang, Michael Ying, Rosenhahn, Bodo
We present a robust estimator for fitting multiple parametric models of the same form to noisy measurements. Applications include finding multiple vanishing points in man-made scenes, fitting planes to architectural imagery, or estimating multiple ri
Externí odkaz:
http://arxiv.org/abs/2001.02643
The horizon line is an important geometric feature for many image processing and scene understanding tasks in computer vision. For instance, in navigation of autonomous vehicles or driver assistance, it can be used to improve 3D reconstruction as wel
Externí odkaz:
http://arxiv.org/abs/1907.10014
Publikováno v:
See also our extended OpenAccess article "Mesh-based Piecewise Planar Motion Compensation and Optical Flow Clustering for ROI Coding", APSIPA Transact. on Sig.&Inform. Proc., 2015
Aerial surveillance from Unmanned Aerial Vehicles (UAVs), i.e. with moving cameras, is of growing interest for police as well as disaster area monitoring. For more detailed ground images the camera resolutions are steadily increasing. Simultaneously
Externí odkaz:
http://arxiv.org/abs/1801.06442
We present a novel approach for vanishing point detection from uncalibrated monocular images. In contrast to state-of-the-art, we make no a priori assumptions about the observed scene. Our method is based on a convolutional neural network (CNN) which
Externí odkaz:
http://arxiv.org/abs/1707.02427
Akademický článek
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