Dynamic 3D Scene Depth Reconstruction via Optical Flow Field Rectification

Dynamic 3D Scene Depth Reconstruction via Optical Flow Field Rectification

In this paper, we propose a depth propagation scheme based on optical flow field rectification towards more accurate depth reconstruction. In depth reconstruction, the occlusions and low-textural regions easily result in optical flow field errors, which lead ambiguous depth value or holes without depth in the obtained depth map. In this work, a scheme is proposed to improve the precision of dep...

Dynamic Scene Reconstruction for 3D Virtual Guidance

In this paper a system is presented able to reproduce the actions of multiple moving objects into a 3D model. A multi-camera system is used for automatically detect, track and classify the objects. Data fusion from multiple sensors allows to get a more precise estimation of the position of detected moving objects and to solve occlusions problem. These data are then used to automatically place a...

3D Dynamic Scene Reconstruction from Multi-View Image Sequences

Kinect based 3D Scene Reconstruction

This paper presents a novel system for 3D scene reconstruction and obstacle detection for visually impaired people, which is based on Microsoft Kinect. From the depth image of Kinect a 3D point cloud is calculated. By using both, the depth image and the point cloud a gradient and RANSAC based plane segmentation algorithm is applied. After the segmentation the planes are combined to objects base...

3D real human reconstruction via multiple low-cost depth cameras

In traditional human-centered games and virtual reality applications, a skeleton is commonly tracked using consumer-level cameras or professional motion capture devices to animate an avatar. In this paper, we propose a novel application that automatically reconstructs a real 3D moving human captured by multiple RGB-D cameras in the form of a polygonal mesh, and which may help users to actually ...