低成本立体人形自适应视觉在机器人应用中的三维定位与距离测量

Abul Al Arabi, Rayhan Sardar Tipu, M. R. Bashar, B. Barman, Shama Ali Monicay, Md. Ashraful Amin
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引用次数: 0

摘要

随着计算机视觉系统的应用,机器人变得越来越智能。现在高度要求任何机器人具有自然视觉系统或更可能的类人视觉系统来与现实生活中的事件进行交互。从这种成像和视觉的角度出发,我们提出了一种有效的方法来确定任何期望图像位置的绝对视点。通过立体摄像机,利用自标定系统和仿人视觉机构找到目标的收敛区域,并借助数学模型测量目标的距离。通过比较不同物体的位置,还可以确定物体的相对距离。我们的系统表明,采用真实的人眼跟踪系统,可以在三维点定位中获得真实的图像视图。
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Implementation of Low Cost Stereo Humanoid Adaptive Vision for 3D Positioning and Distance Measurement for Robotics Application with Self-Calibration
Robots are getting smarter everyday with the implementation of computer vision system in it. It is now highly required for any robot to have a natural vision system or more likely humanoid vision system to interact with real life incidents. On the perspective of such imaging and vision, we propose an efficient method in order to determine the absolute view point of any desired image location. We used self calibration system and humanoid vision mechanism via stereo cameras to find the region of convergent of an object which with the help of a mathematical model can measure the distance of the object. With comparing different objects position it is also possible to determine the relative distance of the objects. Our system shows that, the real human eye tracking system used, can be possible for getting a realistic view of the image at the 3D point positioning.
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