網紋構造 的英文怎麼說

中文拼音 [wǎngwéngòuzào]
網紋構造 英文
dictyonitic structure
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 紋 : 名詞（花紋; 紋縷兒） lines; veins; grain
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 造 : Ⅰ動詞1 （做; 製作） make; build; create; produce 2 （假編） cook up; fabricate; concoct 3 [書面語...
  • 構造 : structure; construction; constructional detail; tectonic; structural; makeup; anatomy; constituti...
  1. Modeling : this thesis develops a method different from traditional techniques that begins with the cylindrical projection of a generic model and its seamless global texture map using multiresolution technique, and then automatically fit the unwrapped cylindrical projected mesh to the texture map with an improved algorithm that based on 2d morphing to specify corresponding feature points ( or lines ). finally, we propose a formula of inverse cylindrical projection to recompose the deformed mesh, and after the texture mapping a photo - realistic individual facial model is created

    採用多解析度技術構造紋理無縫拼接圖，然後把三維網格模型投影到圓柱面上並展開，根據二維圖象變形技術中特徵點匹配演算法的數學思想，將匹配公式進行改進后應用於模型網格點的適配，在作了一定假設后推導出逆向圓柱映射的計算公式，再將適配后的柱面網格映射回去，最後進行紋理映射生成真實感的特定人臉的三維模型。
  2. Based on the analysis and processing of the digital speckle pattern, the translation and rotation invariant features are discovered, and a one - step feed - forward neural network is creatively proposed which makes it possible to realize the intelligent recognition of interface defects

    通過對數學散斑條紋的分析與處理，找出了能代表條紋信息的移位不變與旋轉不變特徵值? ?最大斜率，進而構造一種新的網路模型，即單步前饋式三層網路系統.率先實現了把神經網路系統用在數字散斑無損檢測之中，完成了神經網路系統對粘接界面缺陷的智能辨識
  3. This paper is concerned with the popular texture analysis technique in the traditional image recognition, the novel pattern recognition approach, namely synergetic neural network pattern recognition, and their applications. furthermore, it proposes and implements an offline handwriting identification multi - classifier. it is organized as follows

    本論文研究了傳統圖像識別方法中常用的紋理分析法及一種新的模式識別方法? ?協同神經網路模式識別法及其應用，並在此基礎上構造了一個離線手寫體筆跡鑒別多分類器模型。
  4. It also presents a hybrid approach on the basis of the synergetic network and texture spectrum, which utilizes the advantages of both the top - down synergetics and the traditional down - to - top classifying methods to construct the multi - classifier. the first level classifier is based on snn, in which a novel prototype selection algorithm on the basis of texture features instead of pixels is presented and the second level the texture segmentation algorithm based on the global texture spectrum. finally, it tests the multi - classifier with a great

    在筆跡鑒別多分類器模型的構造中，本文將協同神經網路與紋理譜概念相結合，由自上而下的協同方法和自下而上傳統分類識別方法相結合構造多分類器，第一層分類器基於協同神經網路，其中，在原型模式的選擇演算法上，本論文提出了用紋理特徵替代象素的協同模式識別演算法；第二層分類器基於全局紋理譜的紋理分割演算法。
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