matlab,image-processing,crop,bounding-box
Following the answer of Shai, I present a way to circumvent regionprops (image processing toolbox) just based on find on the black-white image. % load img = im2double(imread('http://i.stack.imgur.com/ZuiEt.jpg')); % black-white image by threshold on check how far each pixel from "white" bw = sum((1-img).^2, 3) > .5; % show bw...
matlab,bounding-box,object-detection
your output corner is an object for storing corner points, use corner.Location to get an M-by-2 array of [x y] point coordinate.
matlab,computer-vision,bounding-box,matlab-cvst
You can use the insertMarker function in the Computer Vision System Toolbox to mark the centers of the bounding boxes.
xml,android-layout,android-xml,rectangles,bounding-box
Use a vertical LinearLayout to enclose your CheckBoxes and another one to enclose your RadioButtons and assign them an xml drawable as the background (you could alternatively use a 9 patch, if you feel more comfortable with): The two extra LinearLayouts are children of the outer container. /res/drawable/box.xml (self contained...
matlab,center,area,bounding-box,matlab-cvst
If you set AreaOutputPort and CentroidOutputPort to true, you will get three outputs instead of one. Instead of bbox = step(blobAnalysis, filteredForeground); use [areas, centroids, bbox] = step(blobAnalysis, filteredForeground); The way you currently have it bbox ends up being a 1-D array containing the areas, which is why insertShape throws...
Like the error says, your x, y, w and h are not allowed to be negative. Try to add a std::max() and std::min(): #include <algorithm> // std::max && std::min int Z = 10; int x = std::max<int>(0, appRect.x-Z); int y = std::max<int>(0, appRect.y-Z); int w = std::min<int>(mat.cols - x, appRect.width+2*Z);...
matlab,matlab-cvst,bounding-box
You simply add the coordinates of the top-left corner of the cropped region to the top-left corners of the detected bounding boxes. Also, in the latest version of MATLAB vision.CascadeObjectDetector supports passing in the region of interest where you want to detect objects, so that you do not need to...
java,android,sorting,opencv,bounding-box
For the swop part use the f.f.g code: Collections.swap (contourRects, j, j + 1); Instead of: temp = contourRects.get(j); contourRects(j) = contourRects.get(j+1); contourRects.get(j+1) = temp; ...
You should use d3.geo.bounds for this, as you need bounding box in spherical coordinates. (Using d3.geo.path with the identity function as a projection doesn’t work because d3.geo.path can only compute a bounding box in Cartesian coordinates.) See Jason Davies’ Geographic Bounding Boxes page for details....
matlab,image-processing,computer-vision,matlab-cvst,bounding-box
Your problem actually isn't drawing the bounding box - it's locating the person inside the image, which you haven't quite done properly. If you don't do this correctly, then you won't be able place the correct bounding box around the person. This is what I have done to locate the...
c++,collision-detection,sfml,bounding-box
Hazarding a guess, I'd say that rotation of the object is the culprit, as rotation has the unfortunate effect of expanding the bounds of an object. The bounding rectangle after rotation is still in the x-y plane determined by the screen, but encompasses the object post-rotation. As illustration, look at...
javascript,d3.js,force-layout,bounding-box,directed-graph
I found out how it goes. If anybody wants to add a bounding box to this mobile-patent-suits example (http://bl.ocks.org/mbostock/1153292), this might be helpful: function tick() { //circle.attr("transform", transform); //no need for this anymore circle.attr("cx", function(d) { return d.x = Math.max(8, Math.min(300 - 8, d.x)); }) .attr("cy", function(d) { return d.y...
c++,opencv,image-processing,text,bounding-box
You can detect text by finding close edge elements (inspired from a LPD): #include "opencv2/opencv.hpp" std::vector<cv::Rect> detectLetters(cv::Mat img) { std::vector<cv::Rect> boundRect; cv::Mat img_gray, img_sobel, img_threshold, element; cvtColor(img, img_gray, CV_BGR2GRAY); cv::Sobel(img_gray, img_sobel, CV_8U, 1, 0, 3, 1, 0, cv::BORDER_DEFAULT); cv::threshold(img_sobel, img_threshold, 0, 255, CV_THRESH_OTSU+CV_THRESH_BINARY); element = getStructuringElement(cv::MORPH_RECT, cv::Size(17, 3) ); cv::morphologyEx(img_threshold,...
javascript,jquery,html,css,bounding-box
No, the rotated bit within c extends out of c, without changing its size. This should make it a bit clearer: var bbox_a = document.getElementById("a").getBoundingClientRect(); snippet.log("a: " + bbox_a.width + "x" + bbox_a.height); var bbox_b = document.getElementById("b").getBoundingClientRect(); snippet.log("b: " + bbox_b.width + "x" + bbox_b.height); var bbox_c = document.getElementById("c").getBoundingClientRect(); snippet.log("c:...
javascript,html5-canvas,bounding-box
Collision detection between rotated rectangles is mathematically complicated and comes in several flavors: Detect if the 2 rotated rectangles are intersecting (colliding) To detect if 2 rotated rectangles are colliding (but not detect where they are colliding), you can use the Separating Axis Theorm. A nice explanation is here: http://gamedevelopment.tutsplus.com/tutorials/collision-detection-using-the-separating-axis-theorem--gamedev-169...
matlab,image-processing,computer-vision,bounding-box
Here is something to get you going with the image you posted. I used a line structuring element with an angle to dilate the image and amplify the signal from the small white chunks at the left of the silhouette. Then using regionprops its easier to identify objects individually and...
pdf,crop,ghostscript,bounding-box
What you need is called command substitution. Please refer to help by 'for /?' command For simplicity I have separated answer into two files First file (getbb.bat) get bounding box @echo off "C:\Program Files\gs\gs9.02\bin\gswin64c.exe"^ -o nul -sDEVICE=bbox %1 2>&1 | find "ResBoundingBox" Second file (replacebb.bat) @echo off for /f "tokens=2...
three.js,intersection,bounding-box
If you're looking to roll your own, I'd recommend reading Separating Axis Theorem for Oriented Bounding Boxes by Johnny Huynh. Here is a collision detection method given two orientated bounding boxes I made for a game I was working on. It isn't in ThreeJS but it should be fairly straight...
The code looks right (I haven't checked all the functions like matrixmult and like that but I assume you have tested and checked them). Problem: you have a small misunderstanding of what are you doing there. So, to help you a bit, but not code your coursework by myself, as...