![]() All you need to do is shine a laser pointer, record with a webcam, and compute the local standard deviation either in time or space. This is an established technique in medical diagnosis and research, and is called laser speckle contrast imaging, or LSCI.Īn awesome paper by Richards et al written in 2013 1 demonstrated that LSCI could be done with $90 worth of equipment and an ordinary computer, not thousands of dollars as researchers had previously been led to believe. You can use a camera to record this, and with computer assistance, quantitatively determine blood flow. This is because the light is bouncing off your blood cells, and when they move, they cause the speckle pattern to shift around. If you shine a laser on your hand, the places where more blood is flowing beneath your skin will seem to sparkle more vigorously - changing more often, with a finer-grained pattern. Look closely at the hand, you can see the laser speckle pattern change. The intrinsics of the Kinect color/depth cameras can either be obtained from Kinect Windows SDK or calibrated using a printed checkerboard.A loop of 30 infrared image frames captured using a Kinect. In the rest of the article, we focus on calibrating the intrinsic parameters of the projector and the extrinsic parameters between the projector and the Kinect depth camera. Instead, we project a checkerboard pattern to a white flat wall, then move the bound Kinect-projector pair to capture mages from at least three different poses, as shown in the teaser image. In this article, we show that the system can be calibrated using Zhang’s method without a printed checkerboard pattern or a large room. As shown below, we bind them such that their FOVs overlap. In most simple AR applications, the relative rotation and translation between the Kinect and the projector are fixed. Existing methods, such as RGBDdemo and KinectProjectorToolkit either requires printed checkerboard patterns or a large room to calibrate Kinect depth/color cameras and a projector. ![]() ![]() We want to combine Microsoft Kinect and a projector to create cool Augmented Reality (AR) applications, one prerequisite is system calibration. Projector and Kinect depth camera extrinsics.Geometric interpretation of eigenvectors and Singular Value Decomposition (SVD).Getting the 3D-2D coordinates of the checkerboard corners. ![]()
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