feature matching model 中文意思是什麼
feature matching model
解釋
特徵匹配模式-
In order to improve the efficiency of classification based on feature matching, the method of azimuth estimation from sar image is studied. a method of target ' s azimuth estimation from sar image using peak featur e based on linear regression is proposed, besides goodish estimation accuracy and high computation efficiency, it can also provide the confidence interval of the estimation, which can meet the need of model - based sar atr system that uses feature very well
為了提高基於特徵匹配的saratr系統的分類效率，論文進一步研究了sar圖像目標方位角估計方法，提出了一種利用峰值特徵基於線性回歸的sar目標方位角估計方法，該方法除了具有計算速度快、估計精度較高的特點之外，還能在估計方位角的同時，給出該估計的置信區間，從而能更好地滿足利用特徵基於模型saratr系統的需要。 -
Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result
以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。 -
Aiming at matching searching of customer demand in product configuration design of case - based reasoning, the conception of the entities, the entity, the attribute, the primary attribute set, the similar element etc. were introduced, and the similarity calculation model based on entity attribute was established ; the mapping relationship of customer demands and the product structure cellular feature during the process of product configuration was studied, and the calculation flow of similarity was put forward ; the type, range and weighting of attribute were analyzed, the calculation method of property similarity and formula of entity similarity were advanced
摘要針對基於實例推理的產品配置設計中客戶需求匹配搜索的問題，引入了實體集、實體、屬性、主屬性集、相似元等概念，建立了基於實體屬性的相似度計算模型；研究了產品配置過程中客戶需求與產品結構單元特徵之間的映射關系，提出了相似度的計算流程；分析了屬性的類型、值域和權重，提出了屬性相似度的計算方法和實體相似度的計算公式。 -
Concrete algorithm is firstly recognizing 2d feature obtained from geometric entities, then on the instruction of the shape analysis combining with the projective rulers of mechanical drawing, matching three 2d view features, creating 3d basic model, forming a operation list, finically finished 3d reconstruction
在重建演算法上，利用提取的幾何實體進行二維視圖特徵的識別，在形體分析法的指導下，結合制圖中的投影原則匹配三維基本形體，最後按照基本體素的運算序列經過復雜的布爾運算完成重建。 -
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
本文以公安系統的網上追逃為研究背景，著重對人臉正面圖像的靜態匹配做了深入探討，在人臉自動定位和人臉特徵提取方面做了大量的實驗與工作，並獨創性地提出了自適應的二級人臉定位演算法（ hbel演算法+橢圓模板匹配演算法） ，使用基於特徵區域的分析來提取人臉特徵進行識別。 -
The sensor model is set up, and the algorithms of image processing, feature detection and stereo matching are realized
建立了傳感器的模型，實現了圖像處理、特徵提取和立體匹配的演算法。 -
The experiment results show that the algorithm which combines the model matching and feature matching can fulfill the object matching and tracking assignment in complex background with relatively good stability and reliability
實驗結果證明，相關跟蹤與特徵匹配相結合的演算法可以較好完成復雜背景下的目標匹配和跟蹤任務，跟蹤的穩定性和可靠性都比較好。 -
Also an algorithm which combines both model matching and feature matching is put forward. the algorithm uses the object contour in previous frame as the reference template of current frame. based on the fact that object has a continuous track in movement, object ’ s current position can be predicted based on previous position and then match the reference template around the predicted position
該演算法將前一幀目標輪廓作為當前幀的參考模板，根據目標在運動過程中具有軌跡連續性的特點，利用目標過去的跟蹤點位置信息得到當前的預測位置點，然後在預測位置點周圍一定范圍內進行模型匹配，以與參考模板匹配值最大的輪廓作為當前幀的目標輪廓，並且把它更新作為下一幀的參考模板。 -
In the fields of matching technology of engine for vehicle, the predicttive model based on vehicle running cycle of emission performance and economic feature is set up
在發動機與汽車的匹配技術方面，建立了以汽車運行工況循環為基礎的汽車排放性能和經濟性能預測模型。
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