正面图的英文

body plan

elevation front

front elevation drawing

front plan

+更多解释...

front view

fv

head-on view

raised plan

• 【造船】正面图。:    body plan
• 正面图，正视图。:    front view
• 建筑物的正面图或剖面图:    architectural draw ...

例句与用法

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1. They are impossible to be bought by counterfeit organizations . the purple - colour 2000 yuan note will be issued in july 2002 . the obverse side exhibits the rocsat - 1 satellite , and the reverse side exhibits a formosan landlocked salmon and mount nanhu
   紫色系的新台币2000圆钞券将于明年7月首度发行，正面图案是代表科技的华卫一号，背面是樱花钩吻鲑及南湖大山。
2. They are impossible to be bought by counterfeit organizations . the purple - colour 2000 yuan note will be issued in july 2002 . the obverse side exhibits the rocsat - 1 satellite , and the reverse side exhibits a formosan landlocked salmon and mount nanhu
   紫色系的新台币2000圆钞券将于明年7月首度发行，正面图案是代表科技的华卫一号，背面是樱花钩吻鲑及南湖大山。
3. The front side of each medallion includes the images of one of the five mascots for the xxix olympiad , one of the five chinese famous ancient towers including the stork tower , yellow crane tower , tengwang pavilion , yueyang tower and penglai pavilion , as well as the name in both chinese and english , respectively
   正面图案分别为第29届奥林匹克运动会5个吉祥物， 5座中国名楼鹳鹊楼、黄鹤楼、滕王阁、岳阳楼和蓬莱阁的景观，以及相关的中英文文字。
4. The front side of each medallion includes the image of a mascot for the xxix olympiad ( beibei , jingjing , huanhuan , yingying , and nini ) and one of chinese famous flowers ( peony , white magnolia , chrysanthemum , plum blossom , and water lily ) respectively , together with some chinese traditional architectural decoration patterns ; on the back of all pieces are the image of emblem for the xxix olympiad and its name in both chinese and english
   正面图案分别为第29届奥林匹克运动会5个吉祥物（福娃贝贝、福娃晶晶、福娃欢欢、福娃迎迎、福娃妮妮）和5种中国名花（牡丹、白玉兰、菊花、梅花、荷花） ，以及中国建筑传统装饰元素；背面图案为第29届奥林匹克运动会会徽和中英文名称。
5. In order to satisfy the new requirement of the police on arresting criminals by on - line information , we took deep research in the recognition of human ' s frontal face , and did lots of experiments in the period of automatic face locating and feature extracting . in this dissertation we proposed a new adaptable two - step face locating algorithm , which combined hbel algorithm and ellipse - model matching algorithm , and men we use eigen - region analysis ( era ) to extract feature
   本文以公安系统的网上追逃为研究背景，着重对人脸正面图像的静态匹配做了深入探讨，在人脸自动定位和人脸特征提取方面做了大量的实验与工作，并独创性地提出了自适应的二级人脸定位算法( hbel算法+椭圆模板匹配算法) ，使用基于特征区域的分析来提取人脸特征进行识别。