Robust Shape Fitting for 3D Scene Abstraction

1 code implementation • 15 Mar 2024 • Florian Kluger, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn

A RANSAC estimator guided by a neural network fits these primitives to a depth map.

Depth Estimation Scene Parsing

PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus

1 code implementation • 26 Jan 2024 • Florian Kluger, Bodo Rosenhahn

We present a real-time method for robust estimation of multiple instances of geometric models from noisy data.

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images

1 code implementation • CVPR 2021 • Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn

A RANSAC estimator guided by a neural network fits these primitives to 3D features, such as a depth map.

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

3 code implementations • CVPR 2020 • Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn

We present a robust estimator for fitting multiple parametric models of the same form to noisy measurements.

Homography Estimation Self-Supervised Learning

Temporally Consistent Horizon Lines

1 code implementation • 23 Jul 2019 • Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn

The horizon line is an important geometric feature for many image processing and scene understanding tasks in computer vision.

3D Reconstruction Autonomous Vehicles +2

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

2 code implementations • 8 Jul 2017 • Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn

We present a novel approach for vanishing point detection from uncalibrated monocular images.

Camera Calibration Horizon Line Estimation