逆映射的英文

发音:   用"逆映射"造句
inverse function
inverse mapping
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例句与用法

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  1. We define the map n from plane to symbolic space , and define its inverse map x using milnor ' s operator . we show that the symbol sequences with same tail ( resp
    首先介绍了t l映射的符号动力学,定义了从平面到符号空间的映射冗,还通过milnor算子,定义了它的逆映射(
  2. In section 4 , we symbolized the system using milnor - thurston ' s method . we not only define the map from plane to symbolic space , also define its inverse map x0 , - 1 which maps symbolic space to plane
    第四节开始,我们引入符号动力学的工具,首先我们将系统符号化,不仅定义了从平面到符号空间的映射,还定义了它的逆映射(
  3. By building a uniform representation on image vi displacement field , we discuss image inverse mapping algorithm in detail . an image iterative blending algorithm is also presented . the results indicate that good effect can be obtained using above algorithms
    通过把图象映射关系统一为位移场表示,讨论了自然消除图象缝隙的逆映射算法以及算法复杂性,并介绍了逆映射算法在视图插补和图象拼接中的应用。
  4. Then , this thesis analyzes the invertibilrty of transformation , and presents the formal definition of weak invertibte transformation , and calculates ( tuple - level ) derivation set of transformation by one - dimension merging and multi - dimension merging of the weak derivation set resolved by weak inverse attribute mapping
    在此基础上,作者分析了转换的可逆性,给出了弱可逆转换的形式化定义,并通过对弱可逆转换中弱逆映射求解的弱起源集进行单维合并、多维合并来求解转换的(元组级)弱起源集。
  5. By taking advantages of epipolar line features and depth discontinuities in reference 中国科学院 软件 研究所 博士 学位 论文 基于 图 象 的 快速 绘制 技术 的 研究 images , an efficient inverse wmping algorithm is pfoposed in chapter 3 for gcnerating nagcs of novel views by combining multiple eference images 帆 enhm different vie 呷 oints because continuous segnents determi 。 d by pairs ofedge pixels at co 。 spending epipolar lines are order kept , only pairs of edge pixels in the reference 渝 明 e e necess 叨 口 cowute to obtain generalized disparity of all points in the desired image as a result , sighficant acceleraion could be made in the endering pfo 比 鸵 two accelerating techiq 此 s e presented in this algori 山 mb accelerate the hole illing process his algorithm extends the reference images rom projection of single col : ii ’ ected surface in previously developed nvnverse w 出 下 er to ima 驴 s captured rom complex scene in chapter 4 , an 《 dent ibr method is prese 庇 仙 y takn ull 讪 antage of 呷 bies c 咖 the method can simulate the 3d details on sllri : ace of object successfully he 。 叩 proach , called rered ature mopmp consists of two pans at fst , an origi 。 ltexture with orthogonal displacements per pixel is deco 啊 osed into a series of new t6 刀 mfcs with each 他 lug a given displacement per pixel , called ae , ea atures , or lt hen hese lt e used to render the novel view by conventional texture mapping d avoid gaps n the endered hlla 驴 , some phels are to be interpolated nd extended in the 厂 kaccoding to the depth differe eee between two neighbor pixels in the original texture as these ltlt fc … e much storage nd therefore much time is equired to install ltlt into the text ’ ufc buffec an 旧 thod is pfoposed to co 呷 fcss the ltlt , nd the cottcspondingfclldering method is given experimental esults show that the new method is efficient , especially n rendering those objects with a smaller depth rnge compared withtheir size , such as relief surfaces of building
    与己有的三维变换方法相比较,该方法不但成功地填补了由于投影区域扩张而产生的第一类空洞,而且成功地填补了由于空间深度非连续物体相互遮挡而产生的第二类空洞,从而方便地实现了虚拟环境中的漫游;基于物体表面深度的连续性,本文提出了一个位移预测方法? ?此方法可以从单幅参考图象获得逆映射过程中所需要的目标图象的位移信息,从而大大提高了算法的效率:与通常的正向映射算法相比,此算法克服了多幅参考图象所带来的计算量成倍增长等问题,而且误差较小。 2 )基于极线几何的快速逆映射算法。利用参考图象的边界信息与隐含的遮挡关系,以及极线几何的性质,本文第三章提出了一个基于极线几何的快速3 ‘一中国科学院软件研究所博士学位论文基于图象的快速绘制技术的研究逆映射算法,从多幅参考图象精确合成当前视点目标图象。

相关词汇

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  3. "逆引导尿管插入术"英文
  4. "逆应力"英文
  5. "逆萤石结构"英文
  6. "逆映象"英文
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  8. "逆涌"英文
  9. "逆游标"英文
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