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Generating a high-quality disparity map is a fundamental step in many applications such as stereo vision-based pedestrian detection for advanced driver assistance systems (ADAS). One of the major challenges in generating accurate depth maps is the huge computational complexity in stereo matching. In this paper, we propose a fast depth estimation technique for real-time applications. The proposed architecture...
Stereo-based advanced driver assistance systems have become more popular because stereovision enables to obtain a three-dimensional (3-D) representation of the environment around a vehicle. However, such information may not always be accurate because the reference images differ in exposure level and illumination. In addition to this, most current implementation of ADAS systems benefits from hardware...
Generating an accurate and dense disparity image is one of the important requirements for many applications such as 3D video and stereo vision-based advanced driver assistance systems (ADAS). Depth estimation is the process of obtaining a depth map based on two or more reference images. Recently, several techniques that use semi-global optimization for estimating depth maps have been suggested. Although...
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