MATCHING WIRE FRAME OBJECTS FROM THEIR 2 DIMENSIONAL PERSPECTIVE PROJECTIONS
MATCHING WIRE FRAME OBJECTS FROM THEIR 2 DIMENSIONAL PERSPECTIVE PROJECTIONS
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DOI：
10.1016/0031-3203(84)90014-1
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发表时间：
1984-01-01
影响因子：
8
通讯作者：
SHAPIRO, LG
中科院分区：
文献类型：
--
作者：
HARALICK, RM;CHU, YH;SHAPIRO, LG
线框对象由一组三维弧组成，每个弧是位于同一平面上的一系列圆锥和线段，允许不同的弧位于不同的平面上。给定一张由相机聚焦在一个线框对象上拍摄的照片，我们展示了当相机观看参数未知时，如何确定对象是什么以及它相对于相机的位置。为了完成目标识别，我们从分割图像开始。然后我们构造一条从透镜到每个区域边界上每个点的射线。对于每个区域，其相关光线的集合是一个锥体。通过构造锥体，将二维到三维的匹配问题转化为等价的三维到三维的匹配问题。将该匹配问题表示为对6个摄像机观测参数（3个平移参数和3个旋转参数）的非线性优化搜索过程。当观测位置和光轴的确定与我们已知的可能曲线和观测到的图像数据相一致时，就会找到一个解决方案。
A wire frame object consists of a set of three dimensional arcs, each arc being a sequence of conics and line segments lying in the same plane, with different arcs being allowed to lie on different planes. Given a picture taken by a camera focusing on one wire frame object, we show how to determine what the object is and where it is situated relative to the camera when the camera viewing parameters are unknown. To accomplish the object identification, we begin with a segmented picture. Then we construct a ray from the lens to each point on the boundary of every region. For each region, the collection of its associated rays is a cone. We show that by constructing cones, the two-dimensional to three-dimensional matching problem is transformed into an equivalent three-dimensional to three-dimensional matching problem. This matching problem is expressed as a nonlinear optimization search procedure on the 6 camera viewing parameters: the 3 translation parameters and the 3 rotation parameters. A solution is found when a viewing position and optical axis is determined which is consistent with the world knowledge we have of possible curves and the observed image data.