3D构建器扫描抖动，即静止图像在扫描时似乎移动 [英] 3D builder scan jitter, i.e. stationary images appear to move while scanning

问题描述

I我正在使用带有最新公共SDK的kinect v2和带有Windows 8.1的3D Builder。  我的处理器是i7，带有32 G内存和一个nvidia 770 gtx。我的环境光源是恒定亮LED或白炽灯。  在尝试捕获距离扫描仪60厘米处的静止物体的扫描时，我注意到显示的图像似乎在摇晃，随着时间的推移在大约1-2 HZ处空间移动。  然后轻微涂抹所得图像。  例如，我尝试以最小的ROI和最高分辨率扫描电视
远程设备，导致STL具有足够的分辨率，几乎看不到凸起的按钮。  背景似乎有一个波浪状的外观。  这个结果似乎比微软提供的
样本扫描要糟糕得多。  事实上，我的kinect 1运行  skanect似乎更好。我的环境光源是恒定亮LED或白炽灯。   

有关问题可能是什么的任何想法？

tx

< p style =""> TS

解决方案

没有看到扫描，很难肯定，但我可以给出一些一般指导这可能会有所帮助：

1）扫描遥控器等物体时，将物体放在表面（如带有哑光表面的盒子）上可获得最佳效果。 这样可以最大限度地减少由于多路径和反射率引起的问题。

2） 尝试打开并关闭了姿势发现器。 根据它是否打开，使用了不同的对齐算法（ICP与MinT），每种算法在不同情况下都能提供更好的结果。

I am using a kinect v2 with the latest public SDK and 3D Builder with windows 8.1.  My processor is i7 with 32 G ram and an nvidia 770 gtx. My ambient light source is constant bright LEDs or incandescent.  While attempting to capture scans of a stationary object at 60 cm distance from the scanner, I noticed that the displayed image seems to waver, move spacially over time at about 1-2 HZ.  The resultant image is then smeared slightly.  For example, my attempts at scanning a television remote device at the smallest ROI and highest resolution resulted in STLs with sufficient resolution to barely see the raised buttons.  The background seems to have a wavy appearance.  This result seems to be much worse than the sample scans provided by microsoft.  In fact, my kinect 1 running  skanect seems to be better. My ambient light source is constant bright LEDs or incandescent.   

Any ideas on what the  problem might be?

tx

TS

解决方案

Without seeing the scan, it's hard to say for sure, but I can give some general guidance which may help:

1) When scanning an object such as a remote, you will get best results by putting the object on a surface such as a box with a matte surface.  This will minimize issues due to multipath and reflectivity which may occur.

2)  Try with the pose finder turned on and turned off.  Depending on whether it is on, there is a different alignment algorithm used (ICP vs. MinT), and each algorithm gives better results in different cases.

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