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c++ Programming Glossary: hough

Algorithm improvement for Coca-Cola can shape recognition

http://stackoverflow.com/questions/10168686/algorithm-improvement-for-coca-cola-can-shape-recognition

awesome book on feature extraction and called Generalized Hough Transform pretty different from the regular Hough Transform.. Hough Transform pretty different from the regular Hough Transform . It basically says a few things You can describe..

OpenCV C++/Obj-C: Advanced square detection

http://stackoverflow.com/questions/10533233/opencv-c-obj-c-advanced-square-detection

share improve this question You might try using HoughLines to detect the four sides of the square. Next locate the.. resulting line intersections to detect the corners. The Hough transform is fairly robust to noise and occlusions so it could.. here. Also here is an interactive demo showing how the Hough transform works I thought it was cool at least . Here is one..

OpenCV: Using Hough Circle Transformation to detect iris

http://stackoverflow.com/questions/12567520/opencv-using-hough-circle-transformation-to-detect-iris

Using Hough Circle Transformation to detect iris I am newbie to openCV.. it cannot however detect the circular iris. I am using the Hough Circle Transformation. But in case iris in an image is not circular.. can't detect it. Any solution for it the algorithm used is Hough Circle Transformation. IplImage capturedImg cvLoadImage circle.jpg..

Tutorial for Iphone OpenCV on shape recognising

http://stackoverflow.com/questions/5738792/tutorial-for-iphone-opencv-on-shape-recognising

is great specially this one Vision for Robots 5 of n Hough Transform OpenCV Eye Detection Face Detection using OpenCV ..

Hand detection using OpenCV

http://stackoverflow.com/questions/9168785/hand-detection-using-opencv

success with detecting fingertips using the Generalised Hough Transform. False positives can become a worry however and efficiency..

writing robust (color and size invariant) circle detection with opencv (based on Hough transform or other features)

http://stackoverflow.com/questions/9860667/writing-robust-color-and-size-invariant-circle-detection-with-opencv-based-on

and size invariant circle detection with opencv based on Hough transform or other features I wrote the following very simple.. single image HIGH 50 LOW 140 try # extract circles cv.HoughCircles processed storage cv.CV_HOUGH_GRADIENT 2 32.0 HIGH LOW.. and in different sizes are detected. Maybe using the Hough transform is not the best way of doing things Are there better..