peer reviewedEstimating the pose of the observed person is crucial for a large variety of applications including home entertainment, man-machine interaction, video surveillance, etc. Often, only a single side view is available, but authors claim that it is possible to derive the pose despite that humans evolve in a 3D environment. In addition, to decrease the sensitivity to color and texture, it is preferable to rely only on the silhouette to recover the pose. Under these conditions, we show that there is an intrinsic limitation: at least two poses correspond to the observed silhouette. We discuss this intrinsic limitation in details in this short paper. To our knowledge, this issue has been overlooked by authors in the past. We observe tha...
Silhouette recognition can reconstruct the three-dimensional pose of a human subject in monocular vi...
We present a novel similarity measure (likelihood) for estimating three-dimensional human pose from ...
International audienceWe present an approach which exploits the coupling between human actions and s...
Abstract: Estimating the pose of the observed person is crucial for a large variety of applications ...
Human Pose Recovery has been studied in the field of Computer Vision forthe last 40 years. Several a...
peer reviewedIn this paper, we present a two-step methodology to improve existing human pose estimat...
International audienceWe will describe our ongoing work on learning-based methods for recovering 3D ...
The recovery of 3D human pose is an important problem in computer vision with many potential applica...
We present a novel similarity measure (likelihood) for estimating three-dimensional human pose from ...
Single view reconstruction is fundamentally an under-constrained problem. We aim to develop new appr...
We describe a learning based method for recovering 3D human body pose from single images and monocul...
In this paper, an automatic approach for 3D pose reconstruction from a single image is proposed. The...
Human pose estimation is a key step to action recogni-tion. We propose a method of estimating 3D hum...
Recovery of human pose from videos has become a highly active research area in the last decade becau...
Abstract. Human Pose Recovery approaches have been studied in the eld of Computer Vision for the las...
Silhouette recognition can reconstruct the three-dimensional pose of a human subject in monocular vi...
We present a novel similarity measure (likelihood) for estimating three-dimensional human pose from ...
International audienceWe present an approach which exploits the coupling between human actions and s...
Abstract: Estimating the pose of the observed person is crucial for a large variety of applications ...
Human Pose Recovery has been studied in the field of Computer Vision forthe last 40 years. Several a...
peer reviewedIn this paper, we present a two-step methodology to improve existing human pose estimat...
International audienceWe will describe our ongoing work on learning-based methods for recovering 3D ...
The recovery of 3D human pose is an important problem in computer vision with many potential applica...
We present a novel similarity measure (likelihood) for estimating three-dimensional human pose from ...
Single view reconstruction is fundamentally an under-constrained problem. We aim to develop new appr...
We describe a learning based method for recovering 3D human body pose from single images and monocul...
In this paper, an automatic approach for 3D pose reconstruction from a single image is proposed. The...
Human pose estimation is a key step to action recogni-tion. We propose a method of estimating 3D hum...
Recovery of human pose from videos has become a highly active research area in the last decade becau...
Abstract. Human Pose Recovery approaches have been studied in the eld of Computer Vision for the las...
Silhouette recognition can reconstruct the three-dimensional pose of a human subject in monocular vi...
We present a novel similarity measure (likelihood) for estimating three-dimensional human pose from ...
International audienceWe present an approach which exploits the coupling between human actions and s...