kht_sandbox是Kernel-based Hough transform(KHT)的算法实现以及c和matlab使用示例。KHT算法采用簇的投票机制加快霍夫变换的检测，近乎可以达到实时的要求，实测对于800*800的图像，KHT算法能达到25-40的帧率。 Fernandes and Oliveira suggested an improved voting scheme for the Hough transform that allows a software implementa
cximage600_demo.zip 别人写的 Preface Years after the previous version, I can tell that the article has survived its author, and even if my opinion on the limits of this library has not changed, an update was really necessary. Thank you very much to all
Config annotation 使用 Scala 宏特性实现配置项映射
示例代码：
import com.wacai.config.annotation._
class Server {
conf val port = 0
}
// application.conf
server {
port = 8080
}
//conf will let scala compile to transform val port = 0 to :
val port = config.get
sift提取特征+匹配，ransac校准。尺度不变特征转换(Scale-invariant feature transform或SIFT)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe在1999年所发表，2004年完善总结。
