近復視像 的英文怎麼說

中文拼音 [jìnfùshìxiàng]
近復視像 英文
homonymous image
  • 近 : Ⅰ形容詞1 （空間或時間距離短） near; close 2 （接近） approaching; approximately; close to 3 （親...
  • 復 : Ⅰ形容詞1 （重復） repeated; double; duplicate 2 （繁復） complex; compound Ⅱ動詞1 （轉過去或轉過...
  • 視 : Ⅰ動詞1. （看） look at 2. （看待） regard; look upon 3. （考察） inspect; watch Ⅱ名詞（姓氏） a surname
  • 像 : Ⅰ名詞1 （比照人物製成的形象） likeness （of sb ）; portrait; picture 2 [物理學] image Ⅱ動詞1 （在...
  1. In the application of mini - micro - robot visual perception, there is a need for fish - eye lenses for capturing wide field of view for navigation. though fish - eye lenses provide a wide field of view ( 180 ), they introduce significant distortion in images and the acquired images are quite warped, which makes conventional camera calibration algorithms no longer work well. this paper presents an accurate calibration framework for fish - eye lens ( a high distortion lens ) camera stereo vision system. the accurate calibration model is formulated with radial distortion, decentering distortion and thin prism distortion based on the fisheye deformation model. using fish - eye and non - linear camera model, the author employs levenberg - marquardt method to realize precise non - linear calibration for wide - view - scene dense depth image recovery

    魚眼鏡頭成像立體視覺系統在微小型機器人視覺導航和近距離大視場物體識別與定位中有著廣泛的應用.盡管魚眼鏡頭攝像機具有很大的視場角（接近180 ） ，但同時也引入嚴重的圖像變形，常規的攝像機標定方法無法使用.該文提出一種標定魚眼鏡頭攝像機立體視覺系統的方法.在魚眼鏡頭變形模型的基礎上，通過考慮魚眼鏡頭成像的徑向變形、偏心變形和薄棱鏡變形，建立了魚眼鏡頭成像的精確成像模型，然後，利用非線性迭代演算法，精確求解攝像機外部參數、內部參數.實驗表明，使用該方法得到的立體視覺系統參數滿足精確恢復大場景稠密深度圖的要求
  2. Measuring method and technique that 3d surface shape is recovered from 2d gray image ( shape from shading ) can obtain surface shape by natural way and easily realize the information integration of intersystem. particularly, this technique belongs to non - contact measurement, and it has become a puzzle and hotspot question in image measuring domain based on vision in recent years

    直接由物體的二維灰度圖像恢復其三維幾何形狀（由明暗恢復形狀）的曲面測量方法和技術，能以自然方式提取物體表面的形狀信息，且易於實現系統間的信息集成，尤其是該方法屬于非接觸測量方法，特別適合於測量由彈性模量低的易變形材料製成的零件，近年來一直是基於視覺的圖像測量領域研究的難點和熱點問題。
  3. It has gained a great deal of achievement in identifying aircraft automatically from airphoto and remote sensing image. but the deeper study is necessary in many fields. the reason is not only the variety of complex object, but also the insufficiency of knowledge to human vision mechanism

    從航拍及遙感圖像中實現飛機的自動識別在近些年來取得了長足的發展，但仍有許多方面需要作更進一步的研究，其中的困難不僅表現在目標的復雜多樣性，也有對人類視覺機制認識不足的原因。
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