hog silhouette

Qt 3D Research (10): Stroke rendering (contour rendering) and silhouette ShaderBefore writing two articles, introduced me in the edge detection above research, actually uses the GPU to carry on the edge detection to the rendering image, the premise is needs to carry on the two times render, the previous time renders the result as the input texture of the next pass result, then in the second pass rendering, the two dimensional image does some image pro

This tutorial mainly uses Photoshop to make a fractured portrait silhouette effect, and the tutorial focuses on the idea of how to create a fragmented portrait. If it is a real portrait picture, also need to go through a simple processing, the dark part into a vector map, and then color and add debris, and so on, like friends let us learn together. Final effect 1, open the character silhouette

1) original literature of hog characteristics "Histograms of oriented gradients for Human Detection" "Finding people in Images and Videos" (PhD thesis) (more detailed) 2) network reference for Hog feature operators Http://www.cnblogs.com/tornadomeet/archive/2012/08/15/2640754.html http://blog.csdn.net/carson2005/article/details/7841443# http://blog.csdn.net/abcjennifer/article/details/7365651 http://blog.c

Histogram of oriented gridients, abbreviated as HOG, is one of the most common features of image local texture in computer vision and Pattern recognition field. This characteristic name is also very straightforward, that is, to calculate the image of a region in different directions of the gradient values, and then accumulate, get the histogram, this histogram, it can represent this area, that is, as a feature, can be input into the classifier. Then,

HOG (histograms of oriented gradients) gradient direction histogramThe directional gradient histogram (histogram of oriented Gradient, HOG) is a feature descriptor used for object detection in computer vision and image processing. This method uses the gradient direction characteristics of the image itself, similar to the edge direction histogram method, the SIFT descriptor, and the context shape method, but

, accompany him by the United States to abuse four days four nights, thanks to the fruits of boredom. Now the situation is unknown.The 2014 home is also not peaceful. Two Huilai told me that in the Shenzhen grass Shop station has to go to the car, if lucky, also has the Koshien car, can pass through the village. Very lucky, I really hooked up to the Koshien!!! The problem is that I don't know which line it's going to take. Finally I really got to the Koshien, Baidu a bit, stunned. Koshien is Sha

PS Use mask to make cool portrait silhouette text (graphic) Final effect The specific production steps are as follows: 1, first open the wood grain picture 2, search the street dance material, import the document 3, input white text, change size size position, as far as possible full street dance contour, and then put these words group 4, not filled parts with white squares to arrange t

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 l

Hog (histogram of Oriented Gradient) is a feature descriptor used for target detection. This technique counts the number of partial direction gradients in an image, this method is similar to the edge direction histogram and scale-invariant feature transform. The difference is that hog's calculation improves accuracy based on consistent space density matrix. NavneetDalal and Bill triggs first proposed hog in

Recently made use of HOG+SVM to do a small program of object detection, you can first look at the results of the experiment. From the photo, the doll was detected in any position in any gesture. (In fact, the plan is to test the red Big doll, but the small doll has also been detected out, as to why this and the problem of the solution, we can continue to discuss below) Actually, the online tutorials and books on