face gradient 中文意思是什麼

face gradient 解釋
工作面坡度
  • face : n 1 臉,面孔;面貌,樣子;面子,威信。2 愁容,苦臉;〈口語〉老面皮,厚臉皮。3 外觀,形勢,局面。4...
  • gradient : adj. 1. 傾斜的。2. 【動物;動物學】步行的,能步行的。n. 1. 〈英國〉(道路的)傾斜度,坡度,坡路。2. 【物理學】梯度,陡度,(溫度、氣壓等的)變化率,梯度變化曲線。
  1. Many factors have effect on irrigation uniformity. with the growing of pressure, how is irrigation uniformity of trickle irrigation varying on different condition of the diameter of drip line, the distance of emitters, the length of drip line, the style of emitters, the flux ratio of emitters and the face gradient of little irrigation district. the consequence shows that pressure has puny effect on irrigation uniformity

    滴灌系統的灌水均勻度受眾多因素的影響,本文通過毛管的管徑、滴頭間距、毛管的管長、灌水器的類型和灌水器的流量系數不同的情況下,灌水均勻度隨壓力水頭變化模擬結果顯示,壓力水頭對灌水均勻度影響非常小。
  2. On the contrary, the length of drip line, the diameter of drip line, the distance of emitters and the face gradient of little irrigation district have remarkable effect on irrigation uniformity

    在田間工程中,毛管長度、毛管的管徑、滴頭間距和地形坡度對灌水均勻度影響非常顯著。
  3. When other factors are unchangeable, with the growing of the diameter of drip line and the distance of emitters, irrigation uniformity of trickle system is increasing. the face gradient of little irrigation district has complex effect on irrigation uniformity. in a word, we tries our best to make the face of little irrigation district flat in order to improve the quality of drip - irrigation system

    灌水均勻度由某一因素決定,而其它因素不變的條件下,隨管徑增大,滴灌系統的灌水均勻度增大;隨滴頭間距增大,灌水均勻度也在增大;地形坡度對灌水均勻度影響比較復雜,為了提高低壓滴灌的灌水質量,土地必須整平。
  4. Two observation models ( color and gradient ) targeting the head contour are added to work together with the face detector in head tracking

    在人臉跟蹤擴展為頭部跟蹤時,加入兩個針對頭部的觀測模型(色彩信息和輪廓信息) ,與人臉檢測器共同指導跟蹤。
  5. According to more effect, when the hore component is placed in a gradient field, at the same time the direction of the current is perpendicular to the direction of the voltage, then between the two parallel side face come out the hore voltage. when hore component is set in this kind of uni - gradient magnetic field and the electric current is unchanged, the voltage output of hore component will be proportional to the position of the hore component in the magnetic field. so we can use the hore component to measure the movement of hore component against magnetic field

    根據霍爾效應可知,置於磁場中的霍爾元件若電流方向與磁場方向垂直,則在霍爾元件垂直於磁場和電流方向的兩個側面將產生電勢,將霍爾元件置於強度隨空間位置線性變化的磁場中,且控制電流恆定,輸出就正比于霍爾元件處于磁場中的位置,因此可以用霍爾元件來測量磁場與霍爾元件間的相對位移量。
  6. Dealing with faces illumination variation based on dynamic directional gradient vector flow snake and gamma algorithm a new dynamic directional gradient vector flow snake ddgvf snake algorithm was presented which can detect the image shadow and highlight contours of the unknown face images. according to the given standard face database, the image gray median could be c.

    使用一種動態方向梯度矢量流snake ddgvf snake演算法來檢測未知圖像的陰影和高光區域,根據已知的標準人臉圖像庫中圖像的灰度分佈,計算出灰度中值,然後採用加權非線性gamma灰度矯正演算法來歸一化待識別圖像的光照變化,使之與已知的標準庫中的圖像灰度一致。
  7. And with the results of calculation obtained by the first - order gradient algorithms which is initial value of the neighboring extremal algorithms we can transform the problem into a face to point one, then a good result is attained by the neighboring extremal algorithms. in the end, the course of orbit transfers is depicted

    利用梯度法對兩點邊值問題進行計算,將面對面的問題轉化為一個點對點問題,將所得結果作為鄰近極值法的初始值並進行精確計算。最後,描繪了最優變軌過程。
  8. ( 3 ) taking advantage of face detector constructed, this thesis presents a face - tracking system by optimal gradient search of confidence. the final tracking system is built on ms directshow platform

    ( 3 )本文還在人臉檢測器的基礎上,提出了一種置信度梯度尋優的人臉跟蹤演算法,並以directshow為平臺實現了一個多人臉跟蹤系統。
  9. As to feature extraction, it can be divided into two parts because face features can be divided into geometrical features and algebraic features. while extracting geometrical features, the features of eyes, nose, mouth, eyebrows can be gained by some image processes : binary, sharpen, smooth, projection, calculating gradient and so on. in order to extract algebraic features, we can do some mathematical transformation for the digital images such as singular value decomposition, k - l transformation

    首先根據人臉圖像二值化圖中頭發塊的輪廓,確定出人臉的一次輪廓;然後在人臉的一次輪廓中以黑塊分析與投影分析相結合的方法定位出人眼,黑塊分析基於圖像的二值特徵以及人眼的幾何特徵,投影分析則基於圖像的灰度特徵進行,它對黑塊分析的結果進行補充;根據定位出人眼信息,取出人臉的二次輪廓;對人臉的二次輪廓進行標準化,獲取人臉的標準圖像。
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