Difference between revisions of "Example Video Mosaic"
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of the complexity. The mosaic is created by tracking image features and fitting a motion model (affine or homography) to the feature's location in each frame. | of the complexity. The mosaic is created by tracking image features and fitting a motion model (affine or homography) to the feature's location in each frame. | ||
Example File: [https://github.com/lessthanoptimal/BoofCV/blob/v0. | Example File: [https://github.com/lessthanoptimal/BoofCV/blob/v0.38/examples/src/main/java/boofcv/examples/geometry/ExampleVideoMosaic.java ExampleVideoMosaic.java] | ||
Concepts: | Concepts: | ||
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<syntaxhighlight lang="java"> | <syntaxhighlight lang="java"> | ||
/** | /** | ||
* Example of how to create a mosaic from a video sequence using StitchingFromMotion2D. | * Example of how to create a mosaic from a video sequence using StitchingFromMotion2D. Mosaics work best | ||
* when the scene being observed is far away or a flat surface. | * when the scene being observed is far away or a flat surface. The camera motion should typically be rotational only, | ||
* but translation can work depending on the scene's geometry. | * but translation can work depending on the scene's geometry. Motion blur and cheap cameras in general will degrade | ||
* performance significantly with the current algorithm. | * performance significantly with the current algorithm. This example just demonstrates a gray scale image, but | ||
* with additional work color images can also be processed. | * with additional work color images can also be processed. | ||
* | * | ||
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// if the current image is close to the image border recenter the mosaic | // if the current image is close to the image border recenter the mosaic | ||
Quadrilateral_F64 corners = stitch.getImageCorners(frame.width, frame.height, null); | |||
if (nearBorder(corners. | if (nearBorder(corners.a, stitch) || nearBorder(corners.b, stitch) || | ||
nearBorder(corners. | nearBorder(corners.c, stitch) || nearBorder(corners.d, stitch)) { | ||
stitch.setOriginToCurrent(); | stitch.setOriginToCurrent(); | ||
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Graphics2D g2 = gui.getImage(0, 1).createGraphics(); | Graphics2D g2 = gui.getImage(0, 1).createGraphics(); | ||
g2.setColor(Color.RED); | g2.setColor(Color.RED); | ||
g2.drawLine((int)corners. | g2.drawLine((int)corners.a.x, (int)corners.a.y, (int)corners.b.x, (int)corners.b.y); | ||
g2.drawLine((int)corners. | g2.drawLine((int)corners.b.x, (int)corners.b.y, (int)corners.c.x, (int)corners.c.y); | ||
g2.drawLine((int)corners. | g2.drawLine((int)corners.c.x, (int)corners.c.y, (int)corners.d.x, (int)corners.d.y); | ||
g2.drawLine((int)corners. | g2.drawLine((int)corners.d.x, (int)corners.d.y, (int)corners.a.x, (int)corners.a.y); | ||
gui.repaint(); | gui.repaint(); |
Latest revision as of 10:17, 12 July 2021
An image mosaic is created by combining numerous images together to create one large one. In this example, it is demonstrated how to create a mosaic from a video image in real-time using a high level interface which hides much of the complexity. The mosaic is created by tracking image features and fitting a motion model (affine or homography) to the feature's location in each frame.
Example File: ExampleVideoMosaic.java
Concepts:
- Image Stitching
- Image Mosaic
- 2D image motion
Relevant Videos:
Related Examples:
Example Code
/**
* Example of how to create a mosaic from a video sequence using StitchingFromMotion2D. Mosaics work best
* when the scene being observed is far away or a flat surface. The camera motion should typically be rotational only,
* but translation can work depending on the scene's geometry. Motion blur and cheap cameras in general will degrade
* performance significantly with the current algorithm. This example just demonstrates a gray scale image, but
* with additional work color images can also be processed.
*
* @author Peter Abeles
*/
public class ExampleVideoMosaic {
public static void main( String[] args ) {
// Configure the feature detector
ConfigPointDetector configDetector = new ConfigPointDetector();
configDetector.type = PointDetectorTypes.SHI_TOMASI;
configDetector.general.maxFeatures = 300;
configDetector.general.radius = 3;
configDetector.general.threshold = 1;
// Use a KLT tracker
PointTracker<GrayF32> tracker = FactoryPointTracker.klt(4, configDetector, 3, GrayF32.class, GrayF32.class);
// This estimates the 2D image motion
// An Affine2D_F64 model also works quite well.
ImageMotion2D<GrayF32, Homography2D_F64> motion2D =
FactoryMotion2D.createMotion2D(220, 3, 2, 30, 0.6, 0.5, false, tracker, new Homography2D_F64());
// wrap it so it output color images while estimating motion from gray
ImageMotion2D<Planar<GrayF32>, Homography2D_F64> motion2DColor =
new PlToGrayMotion2D<>(motion2D, GrayF32.class);
// This fuses the images together
StitchingFromMotion2D<Planar<GrayF32>, Homography2D_F64>
stitch = FactoryMotion2D.createVideoStitch(0.5, motion2DColor, ImageType.pl(3, GrayF32.class));
// Load an image sequence
MediaManager media = DefaultMediaManager.INSTANCE;
String fileName = UtilIO.pathExample("mosaic/airplane01.mjpeg");
SimpleImageSequence<Planar<GrayF32>> video =
media.openVideo(fileName, ImageType.pl(3, GrayF32.class));
Planar<GrayF32> frame = video.next();
// shrink the input image and center it
Homography2D_F64 shrink = new Homography2D_F64(0.5, 0, frame.width/4, 0, 0.5, frame.height/4, 0, 0, 1);
shrink = shrink.invert(null);
// The mosaic will be larger in terms of pixels but the image will be scaled down.
// To change this into stabilization just make it the same size as the input with no shrink.
stitch.configure(frame.width, frame.height, shrink);
// process the first frame
stitch.process(frame);
// Create the GUI for displaying the results + input image
ImageGridPanel gui = new ImageGridPanel(1, 2);
gui.setImage(0, 0, new BufferedImage(frame.width, frame.height, BufferedImage.TYPE_INT_RGB));
gui.setImage(0, 1, new BufferedImage(frame.width, frame.height, BufferedImage.TYPE_INT_RGB));
gui.setPreferredSize(new Dimension(3*frame.width, frame.height*2));
ShowImages.showWindow(gui, "Example Mosaic", true);
boolean enlarged = false;
// process the video sequence one frame at a time
while (video.hasNext()) {
frame = video.next();
if (!stitch.process(frame))
throw new RuntimeException("You should handle failures");
// if the current image is close to the image border recenter the mosaic
Quadrilateral_F64 corners = stitch.getImageCorners(frame.width, frame.height, null);
if (nearBorder(corners.a, stitch) || nearBorder(corners.b, stitch) ||
nearBorder(corners.c, stitch) || nearBorder(corners.d, stitch)) {
stitch.setOriginToCurrent();
// only enlarge the image once
if (!enlarged) {
enlarged = true;
// double the image size and shift it over to keep it centered
int widthOld = stitch.getStitchedImage().width;
int heightOld = stitch.getStitchedImage().height;
int widthNew = widthOld*2;
int heightNew = heightOld*2;
int tranX = (widthNew - widthOld)/2;
int tranY = (heightNew - heightOld)/2;
Homography2D_F64 newToOldStitch = new Homography2D_F64(1, 0, -tranX, 0, 1, -tranY, 0, 0, 1);
stitch.resizeStitchImage(widthNew, heightNew, newToOldStitch);
gui.setImage(0, 1, new BufferedImage(widthNew, heightNew, BufferedImage.TYPE_INT_RGB));
}
corners = stitch.getImageCorners(frame.width, frame.height, null);
}
// display the mosaic
ConvertBufferedImage.convertTo(frame, gui.getImage(0, 0), true);
ConvertBufferedImage.convertTo(stitch.getStitchedImage(), gui.getImage(0, 1), true);
// draw a red quadrilateral around the current frame in the mosaic
Graphics2D g2 = gui.getImage(0, 1).createGraphics();
g2.setColor(Color.RED);
g2.drawLine((int)corners.a.x, (int)corners.a.y, (int)corners.b.x, (int)corners.b.y);
g2.drawLine((int)corners.b.x, (int)corners.b.y, (int)corners.c.x, (int)corners.c.y);
g2.drawLine((int)corners.c.x, (int)corners.c.y, (int)corners.d.x, (int)corners.d.y);
g2.drawLine((int)corners.d.x, (int)corners.d.y, (int)corners.a.x, (int)corners.a.y);
gui.repaint();
// throttle the speed just in case it's on a fast computer
BoofMiscOps.pause(50);
}
}
/**
* Checks to see if the point is near the image border
*/
private static boolean nearBorder( Point2D_F64 p, StitchingFromMotion2D<?, ?> stitch ) {
int r = 10;
if (p.x < r || p.y < r)
return true;
if (p.x >= stitch.getStitchedImage().width - r)
return true;
if (p.y >= stitch.getStitchedImage().height - r)
return true;
return false;
}
}