frontal approach 中文意思是什麼
frontal approach
解釋
前半球接敵-
Dural repairs were done through an intradural approach via single frontal craniotomy
從額骨處做開顱術，經硬腦膜內做腦膜修復。 -
Coronal incision has been the standard approach for the open reduction of frontal sinus fractures
摘要冠狀切割法一直是前額竇骨折復位的標準皮膚切開方法。 -
Lastly, aiming at the poor results which all current algorithms do for directional textures, and cannot synthesis texture directly, aiming at the particularity of this kind of textures, we bring forward the conceptions of non frontal parallel textures and frontal parallel textures. by analyzing texture ' s direction through fourier spectrum, we introduce the conception of main direction, and solve the approximation value of texture ' s main direction by discrete approximated approach. by this way, we can synthesis indirectly simple structural non frontal parallel textures
最後針對現有演算法對帶有方向的紋理合成效果差，無法直接合成紋理圖像的難點，本論文首先提出了非正平行紋理與正平行紋理的概念，分析了它們之間的內在聯系，引入了兩個角度參數來描述紋理的朝向，採用傅立葉頻譜法分析紋理的方向特性，並提出了紋理主方向的概念，本論文引入離散逼近的方法來求解出紋理主方向的近似值，這樣我們就能用一種間接的方法合成簡單的結構性非正平行紋理。 -
In this paper, we present a multi - feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background. it is a hierarchical approach and integrates the skin color segmentation, face template matching and a neural network frontal face detector. with the elimination of false areas, the search area will become smaller and smaller, and the detection will be accomplished eventually
該演算法是一種層次式、由粗到精的檢測方法，按照「分割-搜索」的檢測模式，將膚色分割、平均臉模板匹配與神經網路驗證結合起來，採取逐步排除的方法，一步一步縮小搜索區域，實現彩色圖像中單個或多個正面端正人臉的檢測與定位。 -
This paper proposes a new algorithm, called edge - based texture driven shape model e - tdsm, for non - frontal face alignment task. first, the texture is defined as the un - warped edge image contained in the shape rectangle ; then, a bayesian network is constructed to describe the relationship between the shape and texture models ; finally, expectation - maximization approach is utilized to infer the optimal texture and position parameters from the observed shape and texture information
姿態的變化使得人臉形狀的分佈變得非常復雜，特別是側臉圖像，由於自遮擋的原因，採用單一的模型有時候很難表達人臉形狀的分佈同時，再加上光照的變化，一方面使得人臉輪廓容易和背景混淆，另一方面有可能會在人臉上形成偽邊界，使得輪廓線被錯誤地定位到這些偽邊界線上。
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