pattern-recognition

问题 I am not clear about the difference between the HOG and EOH. Hog is based on image derivatives EOH is based on edge directions. It seems that HOG also somehow a representation of EOH. Could you please give me some explanation about how EOH differs from HOG and the advantages over EOH compare to HOG. In what circumstances we can use EOH compare to HOG? 回答1: I think the main difference is that for a HOG, the actual gradient direction is calculated and then binned, where for an EOH the edge

问题 I have to find the best approach for tackling a problem for trying to recognize physical movements - with an iPhone in a pocket - like waling, stopping, turning left/right, sitting. I was thinking on just heuristically find the data corresponding to each action, then to check the incoming values against this data (with a threshold) and see what's happening. That's a very rough approach, of course, so maybe using something like the Support Vector Machine methods, but this seems too complicated

问题 I dont know whether should I post this question here or not? But if someone knows it, please answer? What are the algorithms for determining which region in an image is text and which one is graphic? Means how to separate such regions? (figure or diagram) 回答1: Most OCR software, e.g., Ocropus, support layout analysis, which is what you need. Mao, Rosenfeld & Kanungo (2003) Document structure analysis algorithms: a literature survey provides a fairly recent survey of layout analysis algorithms

问题 A lot univariate decision tree learner implementations (C4.5 etc) do exist, but does actually someone know multivariate decision tree learner algorithms? 回答1: Bennett and Blue's A Support Vector Machine Approach to Decision Trees does multivariate splits by using embedded SVMs for each decision in the tree. Similarly, in Multicategory classification via discrete support vector machines (2009) , Orsenigo and Vercellis embed a multicategory variant of discrete support vector machines (DSVM)

问题 I have this image How to OCR it? I know this is very challenging, but I would really appreciate any help. 回答1: If you have the time to develop the detection yourself, I would do it roughly like this: Get 1000 images or so and either OCR them yourself or let the people on Amazon Mechanical Turk do it for you, it will cost virtually nothing. Now you have something to tune your algorithm on and measure how well you are doing. Like Ryan wrote, play with standard image filters, contrast, color,

问题 I have nothing useful to do and was playing with jigsaw puzzle like this: alt text http://manual.gimp.org/nl/images/filters/examples/render-taj-jigsaw.jpg and I was wondering if it'd be possible to make a program that assists me in putting it together. Imagine that I have a small puzzle, like 4x3 pieces, but the little tabs and blanks are non-uniform - different pieces have these tabs in different height, of different shape, of different size. What I'd do is to take pictures of all of these

问题 I was trying to build a basic Face Recognition system (PCA-Eigenfaces) using OpenCV 2.2 (from Willow Garage). I understand from many of the previous posts on Face Recognition that there is no standard open source library that can provide all the face recognition for you. Instead, I would like to know if someone has used the functions(and integrated them): icvCalcCovarMatrixEx_8u32fR icvCalcEigenObjects_8u32fR icvEigenProjection_8u32fR et.al in the eigenobjects.cpp to form a face recognition

问题 I Have an object with a set of parameters like: var obj = new {Param1 = 100; Param2 = 212; Param3 = 311; param4 = 11; Param5 = 290;} On the other side i have a list of object: var obj1 = new {Param1 = 1221 ; Param2 = 212 ; Param3 = 311 ; param4 = 11 ; Param5 = 290 ; } var obj3 = new {Param1 = 35 ; Param2 = 11 ; Param3 = 319 ; param4 = 211 ; Param5 = 790 ; } var obj4 = new {Param1 = 126 ; Param2 = 218 ; Param3 = 2 ; param4 = 6 ; Param5 = 190 ; } var obj5 = new {Param1 = 213 ; Param2 = 121 ;

问题 I am doing a project on Gabor feature extraction. I am very confused about what a Gabor feature means. I have made a feature matrix with different orientation and frequency. Is that the Gabor feature or the feature like statistical feature, geometric feature, spatial domain feature, invariance, repeatability, etc computed of image obtained after convolving the image with the Gabor filter bank with different orientation and frequencies refers to the Gabor feature. 回答1: Gabor filters act very

问题 ===SOLVED=== Thanks for your suggestions and comments. By working on the flood_fill algorithm given in Beginning Python Visualization book (Chapter 9 - Image Processing) I have implemented what I have wanted. I can count the objects, get enclosing rectangles for each object (therefore height and widths), and lastly can construct NumPy arrays or matrices for each of them. Although it is not an optimized approach it does what I want. The source code (lab2.py) and the png file (lab2-particles