Search Results for author: Andrea Cohen

Found 9 papers, 0 papers with code

PlaneSDF-based Change Detection for Long-term Dense Mapping

no code implementations18 Jul 2022 Jiahui Fu, Chengyuan Lin, Yuichi Taguchi, Andrea Cohen, Yifu Zhang, Stephen Mylabathula, John J. Leonard

Given point clouds of the source and target scenes, we propose a three-step PlaneSDF-based change detection approach: (1) PlaneSDF volumes are instantiated within each scene and registered across scenes using plane poses; 2D height maps and object maps are extracted per volume via height projection and connected component analysis.

Change Detection Object +2

Hybrid Scene Compression for Visual Localization

no code implementations CVPR 2019 Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler

Besides outperforming previous compression techniques in terms of pose accuracy under the same memory constraints, our compression scheme itself is also more efficient.

Quantization Self-Driving Cars +1

Two forms of minimality in ASPIC+

no code implementations2 Feb 2017 Zimi Li, Andrea Cohen, Simon Parsons

Many systems of structured argumentation explicitly require that the facts and rules that make up the argument for a conclusion be the minimal set required to derive the conclusion.

Vocal Bursts Valence Prediction

Merging the Unmatchable: Stitching Visually Disconnected SfM Models

no code implementations ICCV 2015 Andrea Cohen, Torsten Sattler, Marc Pollefeys

An important variant of this problem is the case in which individual sides of a building can be reconstructed but not joined due to the missing visual overlap.

The Likelihood-Ratio Test and Efficient Robust Estimation

no code implementations ICCV 2015 Andrea Cohen, Christopher Zach

Robust estimation of model parameters in the presence of outliers is a key problem in computer vision.

Efficient Structured Parsing of Facades Using Dynamic Programming

no code implementations CVPR 2014 Andrea Cohen, Alexander G. Schwing, Marc Pollefeys

We propose a sequential optimization technique for segmenting a rectified image of a facade into semantic categories.

General Classification

Joint 3D Scene Reconstruction and Class Segmentation

no code implementations CVPR 2013 Christian Hane, Christopher Zach, Andrea Cohen, Roland Angst, Marc Pollefeys

Image segmentations provide geometric cues about which surface orientations are more likely to appear at a certain location in space whereas a dense 3D reconstruction yields a suitable regularization for the segmentation problem by lifting the labeling from 2D images to 3D space.

3D Reconstruction 3D Scene Reconstruction +3

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