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Arrays and matrix coordinates in BoofCV are all zero-indexed (unlike 1-indexed libraries like [https://www.mathworks.com/products/matlab.html Matl ...er-extent is the bottom-right corner and has the value of (width-1, height-1).

...m.out.printf("Found RGB->HSV = %5.2f %5.3f %5.1f\n", pixelHsv[0], pixelHsv[1], pixelHsv[2]); ColorHsv.hsvToRgb(pixelHsv[0], pixelHsv[1], pixelHsv[2], pixelRgb);

kernel.offset = 1; // specify the kernel's origin kernel.data[0] = 1;

gui.addImage(VisualizeImageData.colorizeSign(derivX, null, -1), "Sobel X"); gui.addImage(VisualizeImageData.colorizeSign(derivY, null, -1), "Sobel Y");

ConfigGeneralDetector configDetector = new ConfigGeneralDetector(-1,8,1); PkltConfig configKlt = new PkltConfig(3,new int[]{1,2,4,8});

Image:Example_image_pyramid.png | Cartoon showing a pyramid with 1,2,4 scaling. ConfigDiscreteLevels.levels(4), -1, 2, true, ImageType.single(imageType));

{| class="wikitable" border="1" {| class="wikitable" border="1"

* 1) How to construct a histogram in 1D, 2D, 3D, ..etc, 2) Histograms are just Planar<GrayF32> rgb = new Planar<>(GrayF32.class, 1, 1, 3);

numCameras, /*views*/ numMotions*numCameras, /* motions */numMotions + 1, structure.setCamera(1, true, intrinsic1);

...ions = BinaryImageOps.contour(filtered, ConnectRule.EIGHT, label).size() + 1; // +1 to regions because contour only counts blobs and not the background

System.out.println("H = " + color[0] + " S = " + color[1] + " V = " + color[2]); showSelectedColor("Selected", image, color[0], color[1]);

In a binary image each pixel can have a value of 0 or 1. Binary images are easy to compute and fast to process, which makes them p GrayU8 filtered = BinaryImageOps.erode8(binary, 1, null);

var bitmap = Bitmap.createBitmap(1, 1, Bitmap.Config.ARGB_8888) var bitmapWork = Bitmap.createBitmap(1, 1, Bitmap.Config.ARGB_8888)

configDetector.general.threshold = 1; ...new Homography2D_F64(0.5, 0, frame.width/4, 0, 0.5, frame.height/4, 0, 0, 1);

// Declare storage for segmented image. 1 = moving foreground and 0 = background var gui = new ImageGridPanel(1, 2);

// size of the blur kernel. square region with a width of radius*2 + 1 GBlurImageOps.gaussian(input, blurred, -1, radius, null);

GrayU8 filtered = BinaryImageOps.erode8(binary, 1, null); filtered = BinaryImageOps.dilate8(filtered, 1, null);

ImageGridPanel gui = new ImageGridPanel(1, 2); gui.setImage(0, 1, new BufferedImage(frame.width, frame.height, BufferedImage.TYPE_INT_RGB));

Planar<GrayU8> rgb = new Planar<GrayU8>(GrayU8.class,1,1,3); GrayU16 depth = new GrayU16(1,1);

* interface will have each pixel assigned a unique label from 0 to N-1, where N is the number of regions. GBlurImageOps.gaussian(color, color, 0.5, -1, null);

new ConfigFastHessian(1, 2, 200, 1, 9, 4, 4), null, null, imageType); ...omography2D_F64(scale, 0, colorA.width/4, 0, scale, colorA.height/4, 0, 0, 1);

...three examples. In BoofCV there are often three ways to invoke a function; 1) procedural, 2) generalized, and 3) abstracted. BlurImageOps.gaussian(input, blurred, -1, blurRadius, null);

private GrayS16 derivX = new GrayS16(1,1); private GrayS16 derivY = new GrayS16(1,1);

...hich form a "ring", that is that when traversed from image 1 -> 2 - > 3 -> 1 you wind up FactoryAssociation.greedy(new ConfigAssociateGreedy(true, 0.1), scorer);

...optical flow is very computationally expensive. Just process the image at 1/2 resolution PanelGridPanel gui = new PanelGridPanel(1, 2);

background.setUnknownValue(1); // storage for segmented image. Background = 0, Foreground = 1

...er = FactoryDetectPoint.createShiTomasi(new ConfigGeneralDetector(1000, 5, 1), null, derivType); InterestPointDetector detector = FactoryInterestPoint.wrapPoint(corner, 1, imageType, derivType);

// Make the image scaled from 0 to 1 to reduce overflow issues boxImage.set(xx, yy, 1.0f/(15*15));

// Camera matrix for view-1, P1, is going to be identity // Scale is arbitrary so let's make it norm of 1

associateThree.detectFeatures(gray02, 1); configRansac.inlierThreshold = 1;

BlurImageOps.gaussian(input,output,-1,3,storage); ...lter<ImageFloat32> filter = FactoryBlurFilter.gaussian(ImageFloat32.class,-1,3);

{| cellpadding="5" cellspacing="0" border="1" | Reference || 1.0.9 || C++ || No || http://www.vision.ee.ethz.ch/~surf/

GrayU8 gray = new GrayU8(1,1);

viewer.setCameraToWorld(new Se3_F64(rotY, new Vector3D_F64(0.75, 0, 1.25)).invert(null)); var gui = new PanelGridPanel(1, imagePanel, viewerComponent);

original.append(new Point3D_F64(i, i + 1, -i));

Example File: [https://github.com/lessthanoptimal/BoofCV/blob/v1.1.0/examples/src/main/java/boofcv/examples/calibration/ExampleCalibrateMonocu ...circleRegularGrid(null, new ConfigGridDimen(/*numRows*/ 8, /*numCols*/ 10, 1.5, 2.5));

* In BoofCV, scene recognition [1] refers to the problem of trying to identify photos of the same scene (not * [1] As far as I can tell there is no universal terminology for this specific s

...AztecGenerator.renderImage(/* pixel per square */ 10, /* border squares */ 1, marker);

| generics || Allows strong typing in abstracted code. Introduced in Java 1.5. Click [http://docs.oracle.com/javase/tutorial/java/generics/index.html BufferedImage out = VisualizeImageData.grayMagnitude(derivX,null,-1);

...F = ExampleComputeFundamentalMatrix.robustFundamental(matches, inliers, 0.1); DMatrixRMaj H = MultiViewOps.createProjectiveToMetric(K, v.x, v.y, v.z, 1, null);

// around 1,000,000 points

* [https://github.com/lessthanoptimal/BoofCV/blob/v0.40.1/examples/src/main/java/boofcv/examples/fiducial/ExampleRenderMicroQrCode.ja ...QrCodeGenerator.renderImage(/* pixel per module */ 10, /* border modules*/ 1, qr);

Example File: [https://github.com/lessthanoptimal/BoofCV/blob/v1.1.0/examples/src/main/java/boofcv/examples/calibration/ExampleCalibrateMulti. ConfigECoCheckMarkers.parse("14x10n1", /* square size */1.0));

GrayU8 thinned = BinaryImageOps.thin(binary, -1, null);

...o 1 and 0 to the rest. Typically the pixels which are assigned a value of 1 are an object of interest. BoofCV provides both global and adaptive (local) ...hen all pixels with a value less than or equal to the threshold are set to 1.

// a large radius is used to exaggerate weighted/unweighted affects. Try 1 or 2 for a typical value

GrayU8 filtered = BinaryImageOps.erode8(binary, 1, null); filtered = BinaryImageOps.dilate8(filtered, 1, null);

VisualizeImageData.grayMagnitude(intensity, output, -1); drawRectangles(g2, image, templatePaint, null, 1);

VisualizeShapes.drawPolygon(qr.bounds, true, 1, g2); VisualizeShapes.drawPolygon(qr.bounds, true, 1, g2);

new ConfigFastHessian(0, 4, 1000, 1, 9, 4, 2), null, null, GrayU8.class); associateThree.detectFeatures(image02, 1);

config.tracker.detDesc.detectPoint.general.threshold = 1; config.ransac.inlierThreshold = 1.5;

VisualizeShapes.drawPolygon(marker.bounds, true, 1, g2); VisualizeShapes.drawPolygon(marker.bounds, true, 1, g2);

...ove away. There are two significant disadvantage for calibration targets. 1) They don't provide a unique ID. 2) Most patterns are not fully orientatio |Calibration || Chessboard ||style="text-align:center;"| 97 || 1 || Partial || Best Close

image.getBand(1).set(5,5,50); BlurImageOps.gaussian(image,output,-1,2,null);

configDisparity.validateRtoL = 1; var colorImage = new InterleavedU8(1, 1, 3);

config.tracker.detDesc.detectPoint.general.threshold = 1;

VisualizeImageData.colorizeSign(intensity, output, -1);

VisualizeImageData.colorizeSign(intensity, output, -1);

VisualizeShapes.drawPolygon(qr.bounds, true, 1, g2); VisualizeShapes.drawPolygon(qr.bounds, true, 1, g2);

// To help make the time go by faster while we wait about 1 to 2 minutes for it to finish, let's print stuff // PixelMath.operator1(inverseDepth, ( v ) -> v <= 1.0f ? v : Float.NaN, inverseDepth);

for (int imageID = 1; imageID <= 3; imageID++) { VisualizeShapes.drawPolygon(bounds, true, 1.0, g2);

config.validateRtoL = 1; config.texture = 0.1;

ResultsBlob results = gray.threshold(threshold,true).erode8(1).contour();

* has the following steps. 1) compute normalized image coordinates for each pixel. 2) convert into unit

config.validateRtoL = 1; config.validateRtoL = 1;

ConvertRotation3D_F32.eulerToMatrix(EulerType.YXZ, 0, 1.45f, 2.2f, pinholeToEqui.getRotation()); ConvertRotation3D_F32.eulerToMatrix(EulerType.YXZ, 0, 1.25f, -1.25f, pinholeToEqui.getRotation());

Found 1 QR "LANDMARK16 1"

Support for Camera2 API was added May of 2018. The Camera 1 API is still available but not currently being updated. Static functions ar Data from camera previews in Camera 1 API is made available in the NV21 image format.

dst.get(1).x = (float)(266 + Math.sin(theta*0.25)*10); // head

System.out.printf("%3d %3d = [ %f %f %f %f\n", p.x, p.y, d.data[0], d.data[1], d.data[2], d.data[3]);

BufferedImage colorX = VisualizeImageData.colorizeSign(derivX, null, -1);

Binary images are of type GrayU8 with pixel values of 0 or 1. If you display this image directly you will essentially see all black. T

GThresholdImageOps.localMean(input, binary, ConfigLength.fixed(57), 1.0, true, null, null, null); GThresholdImageOps.localGaussian(input, binary, ConfigLength.fixed(85), 1.0, true, null, null);

BlurFilter<GrayU8> filter = FactoryBlurFilter.gaussian(GrayU8.class, -1, 12);

Example File: [https://github.com/lessthanoptimal/BoofCV/blob/v1.1.0/examples/src/main/java/boofcv/examples/calibration/ExampleCalibrateFishey // 0 = pinhole camera. 1 = fisheye

// The histogram is already normalized so that it sums up to 1. This provides invariance // couple of pixels at scale of 1. Thus there is less overlap between the features.

Example File: [https://github.com/lessthanoptimal/BoofCV/blob/v1.1.0/examples/src/main/java/boofcv/examples/calibration/ExampleCalibrateStereo ...ConfigECoCheckMarkers.singleShape(/*rows*/ 9, /*cols*/ 7, /*markers*/ 1, /*square size*/ 30)));

Point3D_F64 ref = new Point3D_F64(0,0,1); mask.unsafe_set(x,y,1);

** RADIOENGINEERING, VOL. 22, NO. 1, APRIL 2013

...l made target and a decent camera reprojection error is typically around 0.1 pixels. ...s represent a 3D pointing vector with the implicit assumption that <math>z=1</math>, which is what limits the FOV. Wide camera models use spherical coor

''Bounties are an opportunity to get a little bit [1] of money while helping out the development of BoofCV and the community as '''[1]''' The bounties are paid out of pocket and are not intended to compete wit

int pixelG = image.getBand(1).get(x, y); float red = Math.max(0, 1.0f - Math.abs(targetRed - pixelR)/radius);

|| BoofCV || 0.33.1 || OpenCV || 4.0.1

config.disparity.validateRtoL = 1; config.scene.ransac.inlierThreshold = 1.0;

pcv.setTranslationStep(param.getBaseline()*0.1); pcv.setDotSize(1);

* [https://github.com/lessthanoptimal/BoofCV/blob/v0.40.1/examples/src/main/java/boofcv/examples/tracking/ExamplePointFeatureTracker. configDetector.general.threshold = 1;

...You will need to replace $VERSION with the latest version of BoofCV, e.g. 1.0.0. If you just want image processing, with very few external dependencies {| border="1" width=600px cellpadding="4"

* [http://opencv.org OpenCV] (Ver. 4.0.1) * [https://github.com/dlbeer/quirc Quirc] (Feb 1, 2018. SHA 307473db)

new ConfigFastHessian(0, 2, 400, 1, 9, 4, 4), null, null, GrayF32.class); ...4> associate = FactoryAssociation.greedy(new ConfigAssociateGreedy(true, 0.1), scorer);

...y difficult to write correctly and robustly. Bugs might only happen when a 1 in a million timing coincidence occur or only manifest in faster or slow ma

...a video to process. Grab one of the examples above. Next you will need to 1) convert the video to a sequence of images, 2) downsample the images, 3) se