As we all know, many dynamic objects appear almost continuously in the real world that are immensely capable of impairing performance majority vision-based SLAM systems based on static-world assumption. In order to improve robustness and accuracy visual high-dynamic environments, a real-time robust stereo system for scenes was proposed. To weaken influence content, moving-object detection metho...

We present a stereo algorithm to recursively compute a boundary-level structural description of a static scene, from a sequence of dynamic stereo images. This algorithm is based on connected line segments as the basic match primitive, which yields a description composed primarily of boundaries of objects in the scene. The algorithm is integrated into a dynamic stereo vision system to compute an...

This paper presents a robust method to detect obstacles in stereo images using shadow removal technique and color information. Stereo vision based obstacle detection is an algorithm that aims to detect and compute obstacle depth using stereo matching and disparity map. The proposed advanced method is divided into three phases, the first phase is detecting obstacles and removing shadows, the sec...

In this paper, we propose an efficient stereo image rectification method using the horizontal baseline. Since the stereo camera is generally manually arranged, there are geometric errors due to the camera misalignment and the differences between the camera internal characteristics. Although the conventional calibration-based stereo image rectification method is simple, it has an opportunity to ...

Prediction errors are commonly used when analyzing the performance of a multi-camera stereo system using at least three cameras. This paper discusses this methodology for performance evaluation on long stereo sequences (in the context of vision-based driver assistance systems). Three cameras are calibrated in an ego-vehicle, and prediction error analysis is performed on recorded stereo sequence...

Virtual models are increasingly employed in STEM education to foster learning about spatial phenomena. However, the role of design and spatial ability in moderating performance are not yet well understood. We examined the effects of display fidelity (stereo vs. mono), interface location (colocated vs. displaced), and spatial ability on performance during a virtual molecule manipulation task. Th...

Parametric stereo coding in combination with a State-of-the-Art coder for the underlying monaural audio signal results in the most ef cient coding scheme for stereo signals at very low bit rates available today. This paper reviews those aspects of the parametric stereo paradigm that are important for audio coding applications. A complete parametric stereo coding system is presented, which was r...