![]() ![]() This output a display size that can be verified by measuring the actual dimensions of the screen. ![]() If not, go greener and use thinner paper in general). We can do this by just measuring the two of them, or placing the paper over the screen and ensureing that they are the same size (there is often sufficient transparency on the paper to be able to do this. What we would like it to match the marker size with that of the one in the subject’s position. One can then adjust the size of the marker by using the up/down keys. The workflow _ _ displays a marker in the centre of the screen. We again use an Aruco Marker to define the size of the display. As a standard, we use 7 images:įrom the bottom left corner (illustrated in the figure below). In the workflow, an image can be taken by hitting the spacebar. Once it is displayed in the screen, measure the size a unit square and enter it under _ _ After that you will have to take pictures of the checkerboard pattern from different camera viewing angles. (You can also print a checkboard patter of known size). Running it displays a checkerboard pattern on the screen. Alternatively, you will need to run this program. If you have previously calibrated the camera, you can simply save the value in the OpenCV format and link the function C (below) to that file. This workflow is to calibrate the intrinsic properties of the camera-lens combination, using standardized OpenCV formats. You would need to take pictures of the setup as described below and upload the images on a system running Bonsai. NOTE: To make it convenient, we have the option of calibrating the display by using your phone camera. This automatic calibration has three workflow associated with it (each of them is expanded on below): The workflow identifies the Aruco patterns on the display and in the subject’s position, using a calibrated camera, and automatically calculates the display’s position. Conceptually, this is done using a calibrated camera (we provide a workflow to calibrate here) and Aruco markers to identify the 3D coordinates of the display relative to the subject. We developed these workflows to enable easy and effective calibration of display position. The angles of the _ _ of the monitor from the subject’s position.The distance of the bottom of the screen from the subject’s position.The size of the display in azimuth and elevation.However, if you have a method to measure this, or are happy with approximate values, these are the measurements you would need: This can get a little tricky with getting accurate measurements of angle. Measure the physical distances and angles. There are two ways of calibrating the position of a display in BonVision: 1. Specifically, the parameters: _, _, _, & _. The position of the visual field that the display is looking into is defined by the parameters in the ViewPort node. Therefore, it is important to know which part of the environment the displays are looking into. Under Construction Display Position CalibrationīonVision is fundamentally based on creating stimuli that are true to the experimenter’s definition of the visual environment around a subject, and display devices (monitors/projectors) are merely windows into this environment. ![]()
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