我试图用 Opencv 库写入一个 C++ 程序, 该程序将从人类模型上相应的 2d 标记中重建 3d 点 。
但我有一个问题。商业垄断(动作俘获)行业如何确定哪些标记属于哪个骨骼结构?
我最后一个问题的意思是:假设左上臂上方有三个标记。他们用什么方法将这三个标记与从框架到框架的左上臂联系起来?
因为它可能属于右上臂右上臂 或任何骨头,如前胸、股骨等
那么,它们执行什么程序来区分标记和把正确的标记放在适当的骨骼结构上?
他们是否使用光学流,SIFT跟踪在框架1中标记标记正确骨骼的位置的标记?但是即使母体工业使用这种方法,这两种方法是否很耗时?我在你的管子上看到一个视频。他们在那里实时结合并重建标记。
能否告诉我,商业垄断行业按照什么程序来对准骨骼结构的各个部分?
毕竟您需要这样做, 因为您必须在. bvh 文件中写入骨头的 xRot, yRot 和 zrot (轴的 x- y- z 旋转), 这样您就可以在 3d 中查看 2d 动作 。
那么,什么秘密呢?
对于运动捕捉或跟踪带有一般标记的物体而言,前进的道路是跟踪标记本身在两个框架之间的位置,并跟踪标记之间的距离。将这种信息结合起来,以确定标记是否与前一个框架的标记附近位置相同。
这些系统还经常使用多摄像头和校准物体,其位置为标记的位置,照相机之间的相互关系可以确定。 进行这种探测的算法在这些商业模型解决方案中非常先进。
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