深度カメラ用のいくつかの SDK / フレームワークのパフォーマンスを評価したいと考えています。これらのカメラは、Time-of-Flight または構造化ライトのいずれかを使用できます。フレームワークは、(少なくとも) 人物追跡/ブロブ検出とジェスチャ認識ができる必要があります。これまでのところ、次のフレームワークを見つけました。
他に知っておくべきフレームワークはありますか?
編集: Techradar によるこの記事を見つけました。これは、これらが実際に現在利用可能な唯一のオプションであることを示しているようです。
どんなフィードバックでも大歓迎です！
私はこれに関するいくつかの興味深いリンクを見つけました。CodACを使用してMITのアプローチを取ることができます。彼らはこの投稿にたくさんの事実をリストしています。私がここに投稿する最も重要なものです。
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.
また、Youtubeで見つけたもう1つの興味深いプロジェクトはlibfreenectlibusb
dSensingNIとして記述されているものもあります
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.
つまり、特にKinectを使用しているもののほとんどをヒットしましたが、他にもいくつかのオプションがあります。お役に立てれば！