This thesis addresses the challenging problem of three-dimensional (3-D) reconstruction of a fast-moving human, using a single moving camera which captures both depth and colour information (RGB-D). Our objective is to find solutions to the challenges arising from the high camera motion and articulated human motions. We have developed an effective system which uses the camera pose, skeleton detection, and multi-scale information, to produce a robust reconstruction framework for 3-D modelling of fast-moving humans. The outcome of the research is useful for several applications of human performance capture systems in sports, the arts, and animation industries
This thesis deals with object recognition in image, motion capturing and his transformation into 3D ...
This paper describes a new approach to fitting a kinematic model to human motion data which is a com...
The ability to track articulated human motion in video sequences is essential for applica-tions rang...
This paper presents a method which can track and 3D reconstruct the non-rigid surface motion of huma...
This paper presents a method which can track and 3D reconstruct the non-rigid surface motion of huma...
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction tec...
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction tec...
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction tec...
This research proposes a novel framework for capturing 3D human motion from video images using a mod...
Automatic, non-intrusive vision-based capture of the human body motion opens new possibilities in ap...
Abstract. The interesting combination of Chapters in this book gives a nice overview of the importan...
Real-time 3D pose estimation is of high interest in interactive applications, virtual reality, activ...
A number of promising applications have renewed researchers' interest in the analysis of human movem...
A necessary requirement for many musculoskeletal modeling tasks is an estimation of skeletal motion ...
We present a novel non-rigid reconstruction method using a moving RGB-D camera. Current approaches u...
This thesis deals with object recognition in image, motion capturing and his transformation into 3D ...
This paper describes a new approach to fitting a kinematic model to human motion data which is a com...
The ability to track articulated human motion in video sequences is essential for applica-tions rang...
This paper presents a method which can track and 3D reconstruct the non-rigid surface motion of huma...
This paper presents a method which can track and 3D reconstruct the non-rigid surface motion of huma...
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction tec...
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction tec...
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction tec...
This research proposes a novel framework for capturing 3D human motion from video images using a mod...
Automatic, non-intrusive vision-based capture of the human body motion opens new possibilities in ap...
Abstract. The interesting combination of Chapters in this book gives a nice overview of the importan...
Real-time 3D pose estimation is of high interest in interactive applications, virtual reality, activ...
A number of promising applications have renewed researchers' interest in the analysis of human movem...
A necessary requirement for many musculoskeletal modeling tasks is an estimation of skeletal motion ...
We present a novel non-rigid reconstruction method using a moving RGB-D camera. Current approaches u...
This thesis deals with object recognition in image, motion capturing and his transformation into 3D ...
This paper describes a new approach to fitting a kinematic model to human motion data which is a com...
The ability to track articulated human motion in video sequences is essential for applica-tions rang...