kinect - 有哪些深度相机框架？

Question

我想评估几个深度相机的 SDK/框架的性能。这些相机可以使用飞行时间或结构光。该框架应该(至少)能够进行人员跟踪/ Blob 检测和手势识别。到目前为止我发现了以下框架:

• OpenNI (仅限结构光)
• Microsoft Kinect SDK (仅限 Kinect)
• Beckon SDK作者:Omek Interactive(ToF 和结构光)
• iisu SoftKinetic(ToF 和结构光)

还有其他我应该注意的框架吗？

编辑:我发现this article Techradar 的文章似乎表明这些确实是当前唯一可用的选项。

如有任何反馈，我们将不胜感激!

Answer 1

我发现了一些有趣的链接。您可以使用 MIT 的方法 CodAC 。他们在这篇文章中列出了很多事实，我将在此处发布最重要的事实。

9. What are limitations of this technique?

The main limitation of our framework is inapplicability to scenes with curvilinear
objects, which would require extensions of the current mathematical model.
Another limitation is that a periodic light source creates a wrap-around error 
as it does in other TOF devices. For scenes in which surfaces have high reflectance
or texture variations, availability of a traditional 2D image prior to our data   
acquisition allows for improved depth map reconstruction as discussed in our paper.

10. What are advantages of this technique/device and how does it 
compare with existing TOF-based range sensing techniques?

In laser scanning, spatial resolution is limited by the scanning time. 
TOF cameras do not provide high spatial resolution because they rely on a 
low-resolution 2D pixel array of range-sensing pixels. CoDAC is a single-sensor,
high spatial resolution depth camera which works by exploiting the sparsity of natural 
scene structure.

11. What is the range resolution and spatial resolution of the CoDAC system?

We have demonstrated sub-centimeter range resolution in our experiments.
This is significantly better than fundamental limit of about 10 cm that would 
arise from using a detector with 0.7 nanosecond rise time if we were not using 
parametric signal modeling.  The improvement in range resolution comes from the 
parametric modeling and deconvolution in our framework. We refer the reader to 
our publications for complete details and analysis.

We have demonstrated 64-by-64 pixel spatial resolution,
as this is the spatial resolution of our spatial light modulator.  
Spatially patterning with a digital micromirror device (DMD) will enable 
much higher spatial resolution.  Our experiments use only 205 projection patterns,
which correspond to just 5% of number of pixels in the reconstructed depth map. 
This is a significant improvement over raster scanning in LIDAR, and it is 
obtained without the 2D sensor array used in TOF cameras.

我在 Youtube 上发现了另一个有趣的项目使用libfreenect和 libusb

还有dSensingNI其描述为

This work presents an approach to overcome the disadvantages of existing interaction 
frameworks and technologies for touch detection and object interaction. The robust and
easy to use framework dSensingNI (Depth Sensing Natural Interaction) is described, 
which supports multitouch and tangible interaction with arbitrary objects. It uses 
images from a depth-sensing camera and provides tracking of users fingers of palm of
hands and combines this with object interaction, such as grasping, grouping and 
stacking, which can be used for advanced interaction techniques.

所以您已经了解了其中的大多数，尤其是使用 Kinect 的，但还有一些其他选项!希望这有帮助!