Integrated Analytic and Linearized Inverse Kinematics for Precise Full Body Interactions

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

The paper proposes a complete framework for tracking and modeling articulated human bodies from sequences of range maps acquired from off-the-shelf depth cameras. In particular, we propose an original approach for fitting a pre-defined parametric shape mod ...

In this paper, we present a novel method for real-time 3D hand pose estimation from single depth images using 3D Convolutional Neural Networks (CNNs). Image-based features extracted by 2D CNNs are not directly suitable for 3D hand pose estimation due to th ...

Learning general image representations has proven key to the success of many computer vision tasks. For example, many approaches to image understanding problems rely on deep networks that were initially trained on ImageNet, mostly because the learned featu ...

PURPOSE: The goal of the present study was to use a three-dimensional (3D) gradient echo volume in combination with a fat-selective excitation as a 3D motion navigator (3D FatNav) for retrospective correction of microscopic head motion during high-resoluti ...

We propose the first real-time system for the egocentric estimation of 3D human body pose in a wide range of unconstrained everyday activities. This setting has a unique set of challenges, such as mobility of the hardware setup, and robustness to long capt ...

We address the problem of 3D gaze estimation within a 3D environment from remote sensors, which is highly valuable for applications in human-human and human-robot interactions. To the contrary of most previous works, which are limited to screen gazing appl ...

In a team of autonomous drones, individual knowledge about the relative location of teammates is essential. Existing relative positioning solutions for teams of small drones mostly rely on external systems such as motion tracking cameras or GPS satellites ...

Capturing and processing human geometry, appearance, and motion is at the core of computer graphics, computer vision, and human-computer interaction. The high complexity of human geometry and motion dynamics, and the high sensitivity of the human visual sy ...

Integrated Analytic and Linearized Inverse Kinematics for Precise Full Body Interactions

Chattez avec Graph Search

Semantic parametric body shape estimation from noisy depth sequences

Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks

Neural Scene Decomposition for Multi-Person Motion Capture

Retrospective correction of involuntary microscopic head movement using highly accelerated fat image navigators (3D FatNavs) at 7T

Mo(2)Cap(2): Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera

Gaze Estimation in the 3D Space Using RGB-D Sensors

On-Board Relative Bearing Estimation for Teams of Drones Using Sound

Realtime Face Tracking and Animation