Concept

Pose (computer vision)

Related publications (129)

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Dynamic 2D/3D Registration

Mark Pauly, Sofien Bouaziz, Andrea Tagliasacchi

Image and geometry registration algorithms are an essential component of many computer graphics and computer vision systems. With recent technological advances in RGB-D sensors, such as the Microsoft Kinect or Asus Xtion Live, robust algorithms that combin ...

The Eurographics Association2014

Collaborative Monocular SLAM with Multiple Micro Aerial Vehicles

Davide Scaramuzza

This paper presents a framework for collaborative localization and mapping with multiple Micro Aerial Vehicles (MAVs) in unknown environments. Each MAV estimates its motion individually using an onboard, monocular visual odometry algorithm. The system of M ...

2013

Separable Filter Learning with Tensor Decomposition

Bugra Tekin

Learned image features can provide great accuracy in many Computer Vision tasks. However, when the convolution filters used to learn image features are numerous and not separable, feature extraction becomes computationally de- manding and impractical to us ...

2013

Learning Separable Filters with Shared Parts

Bugra Tekin

2013

Dynamic 2D/3D registration for the Kinect

Mark Pauly, Sofien Bouaziz

Image and geometry registration algorithms are essential components of many computer graphics and computer vision systems. With recent technological advances in RGB-D sensors, robust algorithms that combine 2D image and 3D geometry registration have become ...

ACM2013

A Constrained Latent Variable Model

Pascal Fua, Mathieu Salzmann, Raquel Urtasun, Aydin Varol

Latent variable models provide valuable compact representations for learning and inference in many computer vision tasks. However, most existing models cannot directly encode prior knowledge about the specific problem at hand. In this paper, we introduce a ...

Ieee2012

Reaching and grasping kitchenware objects

Aude Billard, Ashwini Shukla, José Santos-Victor, Alexandre Bernardino

We integrate software components that allow ef- ficient and successful grasping of kitchenware objects. The contributed components include: The object pose detector, the gripper reaching motion and the grasp hypothesis selection. The object pose detector o ...

2012

Pose estimation of landscape images using DEM and orthophotos

Devis Tuia, François Golay, Christoph Strecha, Timothée Produit

In this paper, we propose a methodology for the estimation of the pose of oblique landscape images. Knowledge about the pose is needed for using such images in augmented reality applications or to allow projection of pixels in a GIS for spatial analysis. W ...

2012

Worldwide Pose Estimation Using 3D Point Clouds

Pascal Fua, Yunpeng Li

We address the problem of determining where a photo was taken by estimating a full 6-DOF-plus-intrincs camera pose with respect to a large geo-registered 3D point cloud, bringing together research on image localization, landmark recognition, and 3D pose es ...

2012

The Vernissage Corpus: A Multimodal Human-Robot-Interaction Dataset

Daniel Gatica-Perez, Jean-Marc Odobez, Dinesh Babu Jayagopi, Laurent Son Nguyen, Samira Sheikhi

We introduce a new multimodal interaction dataset with extensive annotations in a conversational Human-Robot-Interaction (HRI) scenario. It has been recorded and annotated to benchmark many relevant perceptual tasks, towards enabling a robot to converse wi ...

2012