Real Time Depth Map Estimation on Cell

Real-Time Hardware Implementation for Depth Map Estimation

Real-time Head Pose Estimation Using Depth Map for Avatar Control

In this paper, we propose a system to estimate head poses only using depth information in real-time, thus does not even need illumination. We first track the user’s nose, and sample an amount of 3D points around the nose. Then we use a plane to fit the point cloud by least square error method, and the normal vector of the plane yields yaw and pitch angles of the user’s head orientation. On the ...

A Unified Probabilistic Framework for Real-Time Depth Map Fusion

This paper proposes a unified probabilistic framework for real-time depth map fusion. By modeling the depth imaging process as a random experiment, the depth map fusion is converted into probability density function (pdf) estimation. The depth fusion problem is decoupled into four parts: the fusion space, the influence term, the visibility term and the confidence term. We combine these four ter...

Generation of Multiple Depth Images from a Single Depth Map Using Multi-baseline Information

In this paper, we propose an algorithm for generation of multiple depth images from one depth map using multi-baseline information. Although depth information is essential in three-dimensional (3-D) applications, the depth estimation from stereo matching is still time consuming and inaccurate. Since the real-time application like free viewpoint TV (FTV) require multiple depth information, stere...

Retracted: The Design and Implementation of Postprocessing for Depth Map on Real-Time Extraction System

Depth estimation becomes the key technology to resolve the communications of the stereo vision. We can get the real-time depth map based on hardware, which cannot implement complicated algorithm as software, because there are some restrictions in the hardware structure. Eventually, some wrong stereo matching will inevitably exist in the process of depth estimation by hardware, such as FPGA. In ...