Krishnapuram R, Casasent D
Appl Opt. 1988 Aug 15;27(16):3451-60. doi: 10.1364/AO.27.003451.
A new technique for determining the distortion parameters (location, orientation, and scale) of general 2-D objects is introduced. It uses the straight-line Hough transform as a feature space. The technique is very efficient and robust, since the dimensionality of the feature space is low and since it uses input images directly (with no preprocessing such as segmentation). Because the feature space allows separation of translation and rotation effects, a hierarchical algorithm to discriminate among objects and to detect object rotation and translation using projections and slices of the Hough space is possible.
介绍了一种确定一般二维物体畸变参数（位置、方向和比例）的新技术。它使用直线霍夫变换作为特征空间。该技术非常高效且稳健，因为特征空间的维度较低，并且它直接使用输入图像（无需诸如分割之类的预处理）。由于特征空间允许分离平移和旋转效应，因此可以使用霍夫空间的投影和切片来区分物体并检测物体旋转和平移的分层算法。
