 全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多   projective depth 的翻译结果: 查询用时：0.216秒 在分类学科中查询 所有学科 计算机软件及计算机应用 更多类别查询 历史查询  projective depth 射影深度(2)  射影深度
 The method estimates projective depth of line measure matrix,does SVD and applies transform to make the result validate. Conjugate iterative to estimate projective depth is applied in the method. 算法首先对直线测量矩阵估计射影深度,采用SVD(Singular Value Decomposition)分解矩阵,并最后应用变换,使得分解结果真实有效。 短句来源 The projective depth will be more exact. 在估计射影深度时运用了共轭法迭代,使得射影深度的估算更准确。 短句来源 “projective depth”译为未确定词的双语例句
 In addition,it does not need the computation of the projective depth and consequently the fundamental matrix. 它无需估计投影深度,避免了基础矩阵计算的复杂性问题,因而也不受相机特殊运动的限制。 短句来源 相似匹配句对
 The projective depth will be more exact. 在估计射影深度时运用了共轭法迭代,使得射影深度的估算更准确。 短句来源 Projective Semimodules 关于投射半模 短句来源 On the “In-Depth-Report” 浅谈“深度报道” 短句来源 Speed and depth; 速度和深度; 短句来源 In addition,it does not need the computation of the projective depth and consequently the fundamental matrix. 它无需估计投影深度,避免了基础矩阵计算的复杂性问题,因而也不受相机特殊运动的限制。 短句来源 查询“projective depth”译词为用户自定义的双语例句

我想查看译文中含有：的双语例句  projective depth
 This section presents a solution to the latter problem based on recovering projective depth. Affine projection is used to approximate perspective projection, projective depths are iteratively estimated by using the conjugate gradient method, and the projective reconstruction is obtained by SVD of the measurement matrix. Under the circumstances in which the intrinsic parameters of camera are known, a 4x4 non singular matrix satisfying the conditions of euclidean reconstruction is evaluated, with which projective reconstruction is transformed into euclidean reconstruction. The result... Affine projection is used to approximate perspective projection, projective depths are iteratively estimated by using the conjugate gradient method, and the projective reconstruction is obtained by SVD of the measurement matrix. Under the circumstances in which the intrinsic parameters of camera are known, a 4x4 non singular matrix satisfying the conditions of euclidean reconstruction is evaluated, with which projective reconstruction is transformed into euclidean reconstruction. The result indicates that the algorithm is effective. 以仿射投影来逼近透视投影 ,采用共轭梯度法迭代估计射影深度 ,通过测量矩阵的奇异值分解实现射影重构 .在摄象机内参数已知的情况下 ,求解一个满足欧氏重构条件的 4× 4非奇异矩阵 ,由此矩阵将射影重构变换为欧氏重构 .实验结果表明该算法是行之有效的 In this paper we propose an algorithm of 3D reconstruction based on image sequences,The projective depths are iteratively estimated by using conjugate gradient method. we carry out the projective reconstruction by matrix factorization. Then we transform projective reconstruction into euclidean reconstruction by using a 4x4 non-singular matrix. The result indicates it is efficient. 提出一种基于图象序列的 3D重构算法。采用共轭梯度法迭代估计射影深度 ,通过矩阵分解方法实现射影重构。然后利用一个 4× 4非奇异矩阵 ,将射影重构变换为欧氏重构。实验结果表明此算法是行之有效的 In this paper, we propose an algorithm for hierarchical reconstruction. The affine projection is used to approximate perspective projection; the projective depths are iteratively estimated by linear iterative method. And then, the projective reconstruction is obtained by SVD of the measurement matrix. The intrinsic parameters of camera are computed by the homography of scene plane to the image plane, finally a 4x4 non-singular matrix is evaluated, which satisfies the conditions of Euclidean reconstruction.... In this paper, we propose an algorithm for hierarchical reconstruction. The affine projection is used to approximate perspective projection; the projective depths are iteratively estimated by linear iterative method. And then, the projective reconstruction is obtained by SVD of the measurement matrix. The intrinsic parameters of camera are computed by the homography of scene plane to the image plane, finally a 4x4 non-singular matrix is evaluated, which satisfies the conditions of Euclidean reconstruction. This matrix can transform projective reconstruction into Euclidean reconstruction. The result indicates our method is efficient and robust. 提出一种分层三维欧氏重构算法。以仿射投影来逼近透视投影,采用线性迭代估计射影深度,通过测量矩阵的奇异值分解实现射影重构。然后利用场景中的平面与像平面的单应矩阵关于摄像机内参数的约束来实现摄象机的标定,最后求解一个满足欧氏重构条件的4×4非奇异矩阵,通过此矩阵将射影重构变换为欧氏重构。实验结果表明该算法是行之有效的。 << 更多相关文摘 相关查询

 CNKI小工具 在英文学术搜索中查有关projective depth的内容 在知识搜索中查有关projective depth的内容 在数字搜索中查有关projective depth的内容 在概念知识元中查有关projective depth的内容 在学术趋势中查有关projective depth的内容

 CNKI主页 |  设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索 2008 CNKI－中国知网 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社