Search Results for author: Christiane Sommer

Found 6 papers, 5 papers with code

Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction

1 code implementation CVPR 2022 Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers

We present Gradient-SDF, a novel representation for 3D geometry that combines the advantages of implict and explicit representations.

3D Reconstruction

Square Root Marginalization for Sliding-Window Bundle Adjustment

no code implementations ICCV 2021 Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko

The square root formulation pervades three major aspects of our optimization-based sliding-window estimator: for bundle adjustment we eliminate landmark variables with nullspace projection; to store the marginalization prior we employ a matrix square root of the Hessian; and when marginalizing old poses we avoid forming normal equations and update the square root prior directly with a specialized QR decomposition.

Square Root Bundle Adjustment for Large-Scale Reconstruction

1 code implementation CVPR 2021 Nikolaus Demmel, Christiane Sommer, Daniel Cremers, Vladyslav Usenko

We propose a new formulation for the bundle adjustment problem which relies on nullspace marginalization of landmark variables by QR decomposition.

PrimiTect: Fast Continuous Hough Voting for Primitive Detection

1 code implementation15 May 2020 Christiane Sommer, Yumin Sun, Erik Bylow, Daniel Cremers

This paper tackles the problem of data abstraction in the context of 3D point sets.

From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds

2 code implementations21 Jan 2020 Christiane Sommer, Yumin Sun, Leonidas Guibas, Daniel Cremers, Tolga Birdal

We propose a new method for segmentation-free joint estimation of orthogonal planes, their intersection lines, relationship graph and corners lying at the intersection of three orthogonal planes.

Efficient Derivative Computation for Cumulative B-Splines on Lie Groups

6 code implementations CVPR 2020 Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers

Continuous-time trajectory representation has recently gained popularity for tasks where the fusion of high-frame-rate sensors and multiple unsynchronized devices is required.

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