In chapter 2 , we introduce how to construct the three - dimensional terrain curved surface based on the bezier curved surface and triangle curved surface , we focus on the control dot generation of the bezier curved surface and the normal vector generation of triangle curved surface . in chapter 3 , we refer to the synthetic display of the three - dimensional terrain , discuss how to illuminate the image and entironment ( e . g 第二章联系zzc02型雷达侦察车中三维电子沙盘显示的需要,详细讨论如何用bezier曲面及三角曲面构造三维地形曲面,其中主要介绍了bezier曲面控制点的生成方法及三角曲面中各点法相量的计算方法。
A new system of nonlinear equations can be formed from the variation gray of same point in multiple images and the optimum solution of the system can be obtained , so that the normal vector at that point of the surface can be defined . then we can get the surface height at the point by applying composite numerical integration . according to variational calculus and finite difference method , the fitted surface is further iterated and modified , so the reconstruction error can be reduced 根据多幅图像上固定位置一点灰度值的变化列多个非线性方程,通过求解该非线性方程组,确定出各选取点的法向量;然后通过复化积分确定选取点的高度值,并利用变分和有限差分思想对所得表面进行进一步的迭代和修正,以减小重构误差。
It presents the angle of the two normal vectors formed by the new and the old triangles , the threshold distance and the principle of maximal - minimal angle in the paper to constrain the growing of the triangles , so as to reduce the searching area , improve the correctness and confirm the quality of the mesh 该方法通过引入三角形法向量夹角、阈值距离以及最小内角等几个参数对三角形的生长进行约束,同时利用生长法,对空间中的离散点集进行逐步三角划分,直至所有三角形扩展完毕。
The main work completed in the paper is listed as following : 1 . image function acquisition - , 2 . read bmp files by dib format ; 3 . drawing gray scale histogram ; 4 . choose a optimum threshold and make gray image become binary image - , s . find image ' s contour points by making inner points become empty and apply template matching on the contour points ; 6 . transform the object ' s beginning points ( pixel point ) to the ones in the image coordinate and the positions of in the corresponding three dimensions ; 7 . compute the position vector and the normal vector of the object 选择一个最佳阕值,把灰度图像进行二值化处理; 5用掏空内部点法,找到图像的轮廓点,然后在轮廓点上进行模板匹配; 6把输出的目标物开始点(像素点)转化成图像坐标系中的点和对应的三维空间的坐标位置; 7计算目标物的位置矢量和法向矢量,根据机器人抓取面的法向矢量,找到机器人要抓取的平面; 8
To solve the overflow or underflow of the components of appearance attributes caused by watermarking , we clip the error ones to the correct ranges by adjusting the corresponding basis function elements . the normalization operation would destroy the watermark embedded in the normal vector . the author presents a novel approach by rotating the normal vector around a fixed axis , which will modify its orientation , not magnitude 其中,针对在外观属性分量上植入水印的值溢出问题,作者提出了动态修改基函数的方法;考虑到直接修改法向量分量的方法会受到法向量单位化操作影响导致水印提取困难,作者提出一种绕固定轴旋转法向量的方法,有效地避免了单位化对已植入水印信息的影响。