نویسندگان | Parisa bagheri; Ali M. Fotouhi |
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نشریه | AUT Journal of Electrical Engineering (AUTJEE) |
ارائه به نام دانشگاه | دانشگاه تفرش |
شماره صفحات | 12 |
شماره سریال | 1 |
شماره مجلد | 55 |
نوع مقاله | Full Paper |
تاریخ انتشار | March 2023 |
رتبه نشریه | علمی - پژوهشی |
نوع نشریه | چاپی |
کشور محل چاپ | ایران |
نمایه نشریه | ISC |
چکیده مقاله
New applications such as 3D graphics, 3D displays, and image-based modeling have made stereo vision an active research area in recent years. In dense disparity map estimation, which is a basic problem in stereo vision, using two left and right images taken from a scene from two different positions, the disparity of each pixel of reference image is determined, meaning each pixel with how displacement is appeared in the other image. Based on the disparity value the depth of each pixel in scene is simply determined. For dense disparity map estimation local stereo matching methods are simpler and faster than global methods and therefore suitable for real time applications. In these methods defining proper window which aggregate intensity pattern as well as keeping disparity consistency in all the window area is an important challenge. To overcome this challenge, the idea of directional multiple window has been proposed in previous researches. On the other hand, local binary patterns, while computationally simple, have considerable success in pattern recognition applications. Therefore, in this paper the idea of using local binary pattern in a directional multiple window arrangement is proposed for dense stereo matching. Experimental results on standard stereo images show the better performance of proposed method respect to other proposed binary descriptors.