OpenCV 2.4 C ++中的倒角匹配的文档 [英] Documentation for chamferMatching in OpenCV 2.4 C++

问题描述

我正在寻找有关OpenCV 2.4 C ++中chamferMatching方法的文档. /OpenCV-2.4.0/samples/cpp/chamfer.cpp中提供的OpenCV实现仅使用前四个参数.总共可以设置14个参数，其中包括:

I'm looking for documentation on the chamferMatching method from the OpenCV 2.4 C++. The OpenCV implementation given in /OpenCV-2.4.0/samples/cpp/chamfer.cpp which only uses the first four parameters. There are a total of 14 parameters which can be set which include:

参数:

img (Cv::Mat)

templ (Cv::Mat)

results (Std::Vector::Std_Vector_Cv_Point)

cost (Std::Vector::Float)

templ_scale (Double) (defaults to: 1)

max_matches (Fixnum) (defaults to: 20)

min_match_distance (Double) (defaults to: 1.0)

pad_x (Fixnum) (defaults to: 3)

pad_y (Fixnum) (defaults to: 3)

scales (Fixnum) (defaults to: 5)

min_scale (Double) (defaults to: 0.6)

max_scale (Double) (defaults to: 1.6)

orientation_weight (Double) (defaults to: 0.5)

truncate (Double) (defaults to: 20)

如果任何人都可以向我指出一个解释每个参数的示例或文档，将不胜感激.

If anyone can point me out to an example or documentation which explains each of these parameters it would be highly appreciated.

推荐答案

我花了很多天寻找与您相同的问题的答案，但没有找到答案.到目前为止，我得到的最好的澄清是来自快速定向倒角匹配的原始论文:

I spent many days looking for an answer to the same question of yours but I didn't find any. The best clarification I got so far is from the original paper of fast directional chamfer matching:

http://www.umiacs.umd.edu/~mingyliu /papers/liu_cvpr2010.pdf

img(Cv :: Mat)测试图像

img (Cv::Mat) The test image

模板(Cv :: Mat)包含要在测试图像中寻找形状的模板

templ (Cv::Mat) The template which contains the shape you are looking for in the test image

结果(Std :: Vector :: Std_Vector_Cv_Point)包含测试图像中匹配点的点向量

results (Std::Vector::Std_Vector_Cv_Point) points vector which contains the matched point in the test image

cost(Std :: Vector :: Float)每个结果的匹配费用的浮动向量

cost (Std::Vector::Float) floats vector of the match cost for each result

templ_scale(双精度)(默认为:1)模板图像的放大倍数.并非互惠

templ_scale (Double) (defaults to: 1) magnification of the template image. not that it is Reciprocal

max_matches(Fixnum)(默认为20)您想要多少个结果

max_matches (Fixnum) (defaults to: 20) how many results you want

min_match_distance(双精度)(默认为:1.0)您允许的(最大)匹配费用是多少

min_match_distance (Double) (defaults to: 1.0) what is the (maximum) matching cost you allow

pad_x(Fixnum)(默认为:3)搜索窗口的X键盘

pad_x (Fixnum) (defaults to: 3) pad X, of the search window

pad_y(Fixnum)(默认为:3)搜索窗口的键盘Y

pad_y (Fixnum) (defaults to: 3) pad Y, of the search window

缩放比例(Fixnum)(默认值为:5)您要为模板使用多少个缩放比例

scales (Fixnum) (defaults to: 5) how many scales you want to use for the template

最小刻度(双精度)(默认为:0.6)明显

min_scale (Double) (defaults to: 0.6) obvious

max_scale(双精度)(默认为1.6)明显

max_scale (Double) (defaults to: 1.6) obvious

orientation_weight(双精度)(默认为:0.5)您希望像素的方向在成本计算中所占的百分比，默认值为50％

orientation_weight (Double) (defaults to: 0.5) by what percentage you want the orientation of a pixel to contribute in the cost calculation, default is 50%

截断(双精度)(默认为:20)距离将被截断的阈值(使用threshold()

truncate (Double) (defaults to: 20) the threshold at which the distance will be truncated (using threshold()

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