Camera Movement Determination¶
A common issue to deal with is that after a camera has been spatially calibrated, the camera then moves and needs to be re-calibrated. The calcam movement correction GUI provides a tool for aligning a “moved image” to a reference image, resulting in a correction which can be applied to images or calibrations to account for image movement.
Unlike the main GUI tools in calcam, the movement correction GUI cannot be opened from the launcher, but is launched using the
Once opened, the GUI is shown below:
The tool is based on identifying a set of corresponding points between the reference and moved images. A minimum of 3 points are required to define the movement between two images.
The GUI shows the two images side-by-side, with the reference image on the left and moved image on the right. If an existing
calcam.movement.MovementCorrection object is provided to the launcher function, the GUI will start showing the provided movement correction. This can be used, for example, for checking if one movement correction object is suitable for a different moved image. The images can be navigated using the mouse:
Scroll Wheel - Zoom in or out, centred at the current mouse position.
Middle Click + Drag - Drag the image around.
The reference and moved images will move together if the mouse controls are used on either image.
To make features easier to identify, image enhancement can be applied to the displayed images using the Enhance Images checkbox just above the images.
Auto-detecting matching points¶
The tool includes the option to try to automatically detect a set of corresponding points between the images. This uses the same algorithm as
calcam.movement.detect_movement(), but allows manual checking of the results using the GUI. To auto-detect a set of points, click the Auto-detect button near the top of the window. This will remove any existing points on the images, add the auto-detected points to the display and estimate the image movement from the points. If a good set of points cannot be auto-detected, a dialog box will be shown informing you of this.
Manually adding points¶
If automatic detection does not provide a high enough accuracy result, pairs of matching points can be added to the images manually. This works very similarly to the pointpair based calibration tool. Point positions are displayed on the images views as red + cursors at the point locations. At any given time, one point pair can be selected for editing. The selected point pair will be indicated with larger green + cursors.
Once you have identified a common feature on the two images, Ctrl + Click on the location on either image to create a new point pair. A point will be placed at the mouse location. Then click, without holding Ctrl, the corresponding point on the other image to finish creating the point pair. You should now see green cursors on both images. Clicking either image again will move the green cursor representing the current point to the clicked location. To start another point pair, Ctrl + Click again and repeat the process. The cursors showing the existing points will turn red, indicating they are no longer selected. In general, left clicking on either image will move the currently selected point to the clicked location. Clicking an existing cursor will select that point pair for editing, and holding Ctrl while clicking will start a new point pair. The currently selected point pair can be deleted by pressing the Del key on the keyboard. All points can be removed at once by clicking the Clear button at the top of the window.
Calculating and checking the movement correction¶
Once you have at least 3 pairs of points on the images, click the Go! button to calculate the movement correction. If the sets of points are not sufficiently consistent, the movement will not be estimated and a dialog box stating this will be displayed.
When a movement correction is successfully determined, some information about the correction is displayed below the Go! button:
The translation, rotation and scale to go from the moved image to the reference image.
The DDScore: this is a calculated score estimating how much improved the alignment of the two images is by the determined movement correction. This is a number in the range -1 to 1, where negative values indicate the alignment got worse, 0 is no change and positive numbers indicate an improvement i.e. successful movement correction.
In addition, positions of the corrected points are shown on both images as blue + cursors. For a successful movement correction, on the reference (left-hand) images the blue points should align well with the user-clicked red and green cursors. On the right-hand image, the difference between the red and blue cursors shows how much each point has moved. The blue points can be turned on or off with the Show adjusted points in blue checkbox.
The most direct way to visually assess the movement correction quality is to use the Overlay transformed image on both button. While this button is held down, the moved image is adjusted to align with the reference image and overlaid on both image displayes. For a successful movement correction, the overlaid image should align well on the reference image (left hand side), and the difference on the right-hand side shows how much the image has moved. Clicking, holding down then releasing this button allows quick back-and-forth comparison of the image alignment to assess the movement correction quality.
If a good movement correction is obtained, clicking OK at the bottom of the window will close the dialog box, and the launcher function will return a
calcam.movement.MovementCorrection object representing the determined movement correction. If Cancel is clicked instead, the launching function will return