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Divergence-Based Adaptive Extreme Video Completion

Publications associées (7)

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

Daniel Thalmann, Hui Liang

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 ...

IEEE COMPUTER SOC2019

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Bugra Tekin

Estimating the 3D poses of rigid and articulated bodies is one of the fundamental problems of Computer Vision. It has a broad range of applications including augmented reality, surveillance, animation and human-computer interaction. Despite the ever-growin ...

EPFL2018

ESIM: an Open Event Camera Simulator

Davide Scaramuzza

Event cameras are revolutionary sensors that work radically differently from standard cameras. Instead of capturing intensity images at a fixed rate, event cameras measure changes of intensity asynchronously, in the form of a stream of events, which encode ...

2018

Advances in top-down and bottom-up approaches to video-based camera tracking

David Marimon Sanjuan

Video-based camera tracking consists in trailing the three dimensional pose followed by a mobile camera using video as sole input. In order to estimate the pose of a camera with respect to a real scene, one or more three dimensional references are needed. ...

EPFL2007

Browsing the environment with the SNAP&TELL wearable computer system

Ali H. Sayed

This paper provides an overview of a multi-modal wearable computer system, SNAP&TELL. The system performs real-time gesture tracking, combined with audio-based control commands, in order to recognize objects in an environment, including outdoor landmarks. ...

Springer-Verlag2005

Using biomechanical constraints to improve video-based motion capture

Lorna Herda

In motion capture applications whose aim is to recover human body postures from various input, the high dimensionality of the problem makes it desirable to reduce the size of the search-space by eliminating a priori impossible configurations. This can be c ...

EPFL2004

Snap&Tell: a multi-modal wearable computer interface for browsing the environment

Ali H. Sayed

This paper gives an overview of a multi-modal wearable computer system 'SNAP&TELL', which performs real-time gesture tracking combined with audio-based system control commands to recognize objects in the environment including outdoor landmarks. Our system ...

2002