If I scatter more infrared points around the room from separate infrared laser speckle projectors, and in doing so increase the point cloud resolution spread over objects in the room, will this result in a higher resolution 3d scan captured by the infrared camera on the Kinect 360? Or are there limitations on how much point cloud data the IR camera and/or Kinect software/hardware can process?
Found this paper which answered my question:
http://www.cs.cornell.edu/~hema/rgbd-workshop-2014/papers/Alhwarin.pdf
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Soon i will start working on a project that requires me to classify different objects using CNN (Convolutional Neural Networks) and track it using a drone. The camera i need should stream live video on FHD at #60. I searched a lot especially the go pro's camera but i didn't find anything related to how many frames during live stream. Hope you can suggest me some cameras.
You could use a GoPro camera with a HDMI to USB capture card, this will give you 1080p 30 or 60 fps depending on the resolution and frame rate chosen. I'd look for a OpenMV Cam H7 if possible, the camera is designed for computer vision.
I'm a student intern and have a work project using Kinect cameras. Unfortunately I can't go into project details due to confidentiality, but need to know if the IR dot array that is emitted from the IR blasters within the Kinect is a continuous stream or pulsed? Just the emitted IR light, not the reception from the IR camera. It would be shining on some other IR light sensors within the environment that detect when something passes through their IR field of view, but I have been told that it would not interfere as long as the stream is continuous.
I would appreciate any help/ information you guys could give.
The kinect 360 cameras has a static pattern of points that are unevenly distributed. The pattern is continuous and not pulsed as far as I know.
What is the effective frame rate of the latest version of the Kinect camera, at high resolution and including highest resolution infrared depth data? I have read that it is actually only 9 fps. This seems at odds with other things I have seen online. Why the difference?
It seems that 9fps is achieved when using kinect fusion on the microsoft SDK, but on matlab it's close to 30 fps on the depth stream.
I am trying to gather as much resources as possible regarding to depth calibration of Kinect camera.
One question which is not that trivial for me is the following:
What kind of calibration target should be used with Microsoft Kinect camera.
I'm thinking of having kind of checker-board based pattern, but not sure whether the depth sensor would be able to detect it. Am i right?
Maybe high precision 3-D objects would be more beneficial for calibration of the depth camera?
Thank you very much!
P.S Please consider the fact that i am going to use only depth sensor on Kinect and not RGB sensor, as i mentioned.
I got a question of image capture with a PC camera(integrated note book camera or web cam). While I am developing a computer vision system in which high quality image capture is the key issue, most of the current method is use VFW or directShow to capture video stream and snap one frame as an image.
However, this method could not get high quality image ( or using up the full capacity of the camera). For example, I got a 5 mega pixel web cam. but the video stream is maximum 720P(USB bandwidth problem?). Video streaming is wasting some of the camera sensors.
Could I video streaming and taking picture independently? like inputing video with a 640*480 video stream and render on the stream. then take a picture of 1280*720 from the same cam? I guess this would be a hardware problem? the new HTC one X camera?
In short, it's there a way for a PC system to take a picture ,full use of the sensor capacity, without video streaming and capture one frame. Is this a hardware related problem? Does common web cam support this? Or a Software problem, I should learn DirectShow things?
Thanks a lot.
I vaguely remember (some) video sources offer both a capture and still pin, the latter I assume would offer you higher quality. You can easily test this in GraphEdit. If it works then yes, you'll have to learn DirectShow. Or pay someone to code this for you.