hog silhouette

The tutorial focuses on the production ideas of the debris portrait. If the real portrait picture, also need to go through simple processing, the dark part into a vector map, and then color and add debris. Final effect 1, open the character silhouette material, uses the Magic Wand tool to select out the character, copies to the new layer. 2, create a new layer, with a brush to paint some color, see a person like Ctrl + Left

Several friends of my band have just undergone a change in the small membership lineup. They need to replace the photos on their home page. I think it might be interesting to have a little interaction with something. There may be many ways to do this, and this one just came into my head and suddenly appeared, and I went with it. The idea is to have a silhouette as a background image, then, in the group all exactly the same size with each band memb

Opencv provides the pedestrain detection class. CV: definitions of parameters of the hogdescriptor class constructor: Cv_wrap hogdescriptor (): winsize (64,128), // detect window blocksize (16, 16), // block size blockstride (8, 8), // Slide Step cellsize (8, 8) of overlap block ), // cell size nbins (9), // Number of bin in the histogram derivaperture (1), // winsigma (-1 ), // perform Gaussian weighted histogramnormtype (hogdescriptor: l2hys) on the window, // histogram normalization type l2

function F = hogcalculator(img, cellpw, cellph, nblockw, nblockh,...nthet, overlap, isglobalinterpolate, issigned, normmethod)% HOGCALCULATOR calculate R-HOG feature vector of an input image using the% procedure presented in Dalal and Triggs's paper in CVPR 2005.%% Author: timeHandle% Time: March 24, 2010% May 12，2010 update.%% this copy of code is written for my personal interest, which is an % original and inornate realization of [Dalal CVPR2005]'s

Personally think a lot of blogs are copied from here: http://www.cnblogs.com/justany/archive/2012/12/03/2790548.htmlJust say how to use it.Contains header files: There is no special difference to the general OPENCV program need to join the library: Opencv_objdetect244.lib (realease in the Debug plus a D, the configuration of the people should understand) basic use: (two lines of code)hogdescriptor *desc=new hogdescriptor (cvsize (40,80), Cvsize (10,20), Cvsize (5,10), Cvsize (5,5), 9); Desc->com

OpenCV Read the image sequence for hog pedestrian detection and saved as a video http://blog.csdn.net/masibuaa/article/details/160844672013-11-13 21:42 4273 People read comments (17) Collection Report Category: Computer Vision (OpenCV) Hog target detection (7) Copyright NOTICE: This article is the original article of the blogger, without the permission of the blogger may not be reproduced. This program is

This paper is a CVPR2013 article from CMU, which presents a contour feature based on sparse coding, referred to as HSC (histogram of Sparse code) and surpasses hog in target detection (histogram of Gradient) This paper introduces the idea of HSC and its calculation process.3, the HSC method uses the sparse coding principle to extract the image feature, that is, the image block patch is re-encoded according to the learned dictionary.The algorithm mainl

Hog (histogram of Oriented Gradient) Direction gradient histogram, mainly used to extract image features, the most common is to use SVM for pedestrian detection. The algorithm flow chart is as follows (in this paper ): Next I will repeat it with my own program: 1. Gamma Correction for the original image, IMG = SQRT (IMG ); 2. Find the vertical edge, horizontal edge, edge strength, and edge slope of the image. 3. Divide the image into a cell every 16*

in the same path. 3. Change the image sizeYou can use ACDSee software, tools/open in editor, and then select the resize option. Tools/rotate can also implement left-right reflect. 4. Create the POs. lst list to go To the DOS interface, locate the image folder to be created, and enter DIR/B> pos. lst to generate the file list; After carefully analyzing the compute function in cvhop. cpp, you can directly call it to obtain the sample hog, and then t

Just finished writing, press 2 under the space. The picture below all lost, re-write it ... A novice, the image is just contact with the hog, others do not understand, some words may be said is not very accurate, forgive the next ~ Blogging is also the first time ... Take note of the notes ... Not much to say ... Original Post-operation renderings: One is a grayscale image, and the other is a size chart for each cell's bin: Here is the macro in my

Hog has been using it for a long time. Today I tried to write Most of the functions used are MATLAB toolbox functions. Where is the gradient histogram difference not written? The code shows a method for finally displaying a vector graph. If the program compilation is incorrect, please correct it. The first is the main program: clc;clear;image = imread('crop001019.png');figure;imshow(image);image = double(image);image = imresize(image,[128 64]);block

Directly on the code:#include using namespaceCv#include using namespace STD;TemplateTypeNameT>int_get_hog ( vectorfloat>hist,ConstMat img,Const intNbins =8,Const BOOLNeed_normalize=false){intRows_minus_1 = Img.rows-1;intCols_minus_1 = Img.cols-1;floatDX, dy;floatAngleConst floatAngle_base = atan2f (0, -1);Const floatAngle_piece =2.f*angle_base/(float) Nbins;intbin_id; for(inty =0; Y for(intx =0; x float) (Img.at1)); DY = (float) (Img.at1, x)); Angle = atan2f (dy, dx) + angle_base; bin_id =

HOG OpenCV code snippet, Directly run the Code: #include Copyright Disclaimer: This article is an original article by the blogger and cannot be reproduced without the permission of the blogger.

Here to summarize the information they found on the internet, to make a simple framework for your reference. OpenCV The official SVM code in http://www.opencv.org.cn/opencvdoc/2.3.2/html/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html In http://blog.csdn.net/sangni007/article/details/7471222 see a good code, the structure is clear, although the comments are relatively small, but very valuable reference, so I added some comments, look more comfortable. Less nonsense, directly on th

Raw Material Pictures Final effect 1, open Photoshop software, drag photos into, and then copy a layer, and then ctrl+m the curve and ctrl+l tune

The results of this tutorial look very concise and very artistic. The method of making is also simpler: before making a picture, you need to find a sunrise or sunset, then pull out the main material you need, and then paste it into the background.

Some of my band's friends have just experienced a small member Lineup change. They need to change the photos on their home page. I think it may be interesting to see a little interaction. There may be many ways to achieve this effect. This

Effect Chart: Material: Production Start: First the portrait is deducted, here with the channel buckle picture is the best, the figure quickly not so careful, will buckle the picture to put into the

Original Final effect 1, drag into the photo, copy the layer (CTRL+J), through the curve (ctrl+m) and levels (CTRL+L) to adjust the layer properly. 2, create new layer, fill orange (Alt+del), adjust

#include #include #include #include using namespace CV; using namespace Std; Iplimage * Grbtogrey (iplimage* img)//RGB image to grayscale image { iplimage* dest=cvcreateimage (Cvsize (Img->width, img->height), img->depth,1); uchar* data =