Depth estimation for dynamic scenes is a challenging and relevant problem in computer vision. Although this problem can be tackled by means of ToF cameras or stereo vision systems, each of the two systems alone has its own limitations. In this paper a framework for the fusion of 3D data produced by a ToF camera and a stereo vision system is proposed. Initially, depth data acquired by the ToF ca...

The purpose of this paper is to utilize Field Programmable Gate Array (FPGA) to perform stereo vision distance detection. However, the stereo vision built by two cameras makes memory space lacking and image process slow under the constraints of FPGA application. In this paper, efficient memory space allocation and hardware calculation for stereo vision detection built in a System on a Programma...

This paper describes a working stereo-vision-based mobile robot that can navigate and autonomously explore its environment safely while building occupancy grid maps of the environment. We present a method for reducing stereo vision disparity images to two dimensional map information. Stereo vision has several attributes that set it apart from other sensors more commonly used for occupancy grid ...

In this paper, a novel interface, termed BVSI, allowing people to input stereo correspondences more efficiently is proposed. The BVSI consists of a stereo display for providing a stereo view of a 3-D scene and a binocular gaze tracker for recording the binocular fixation points of an operator. A calibration method of the BVSI is presented in this paper. The horizontal gaze tracking error of the...

Only a few problems in computer vision have been investigated more vigorously than stereo. Consequently, more than 200 different stereo vision methods have been published and their number is increasing month by month. Although the principle of computational stereo has been known for more than 20 years, new directions in stereo research are still being under development. The objective of this re...