Publications associées à Calibration de caméra

Real-Time Seamless Single Shot 6D Object Pose Prediction

We propose a single-shot approach for simultaneously detecting an object in an RGB image and predicting its 6D pose without requiring multiple stages or having to examine multiple hypotheses. Unlike a recently proposed single-shot technique for this task [ ...

IEEE2018

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Pascal Fua, Mathieu Salzmann, Zheng Dang, Kwang Moo Yi, Fei Wang, Yinlin Hu

Many classical Computer Vision problems, such as essential matrix computation and pose estimation from 3D to 2D correspondences, can be solved by ﬁnding the eigenvector corresponding to the smallest, or zero, eigenvalue of a matrix representing a linear sy ...

2018

On the inference speed and video-compression robustness of DeepLabCut

Alexander Mathis

Pose estimation is crucial for many applications in neuroscience, biomechanics, genetics and beyond. We recently presented a highly efficient method for markerless pose estimation based on transfer learning with deep neural networks called DeepLabCut. Curr ...

Animal Behavior and Cognition2018

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

Pascal Fua, Artem Rozantsev, Sudipta Sinha

We propose a new method to estimate the 6-dof trajectory of a flying object such as a quadrotor UAV within a 3D airspace monitored using multiple fixed ground cameras. It is based on a new structure from motion formulation for the 3D reconstruction of a si ...

Ieee2017

Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait

Kamiar Aminian, Arnaud Barré

The aim of this study was to analyze the accuracy of bone pose estimation based on sub-clusters of three skin-markers characterized by triangular Cosserat point elements (TCPEs) and to evaluate the capability of four instantaneous physical parameters, whic ...

Elsevier2017

Performance assessment of integrated sensor orientation with a low-cost GNSS receiver

Jan Skaloud, Martin Rehak

Mapping with Micro Aerial Vehicles (MAVs whose weight does not exceed 5 kg) is gaining importance in applications such as corridor mapping, road and pipeline inspections, or mapping of large areas with homogeneous surface structure, e.g. forest or agricult ...

Copernicus GmbH2017

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

Martin Vetterli, Adam James Scholefield, Alireza Ghasemi

We propose a novel camera pose estimation or perspective-n-point (PnP) algorithm, based on the idea of consistency regions and half-space intersections. Our algorithm has linear time-complexity and a squared reconstruction error that decreases at least qua ...

Ieee2016

Tensor low-rank and sparse light field photography

Pierre Vandergheynst, Mahdad Hosseini Kamal

High-quality light field photography has been one of the most difficult challenges in computational photography. Conventional methods either sacrifice resolution, use multiple devices, or require multiple images to be captured. Combining coded image acquis ...

Elsevier2016

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Calibration de caméra

Real-Time Seamless Single Shot 6D Object Pose Prediction

Data-Efficient Decentralized Visual SLAM

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

SIPS: Unsupervised Succinct Interest Points

On the inference speed and video-compression robustness of DeepLabCut

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait

Performance assessment of integrated sensor orientation with a low-cost GNSS receiver

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

Tensor low-rank and sparse light field photography

Graph Chatbot

Chattez avec Graph Search

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

On the inference speed and video-compression robustness of DeepLabCut

SIPS: Unsupervised Succinct Interest Points

Tensor low-rank and sparse light field photography

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

Performance assessment of integrated sensor orientation with a low-cost GNSS receiver

Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait

Real-Time Seamless Single Shot 6D Object Pose Prediction

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Data-Efficient Decentralized Visual SLAM