1 |
藉由直覺性素描與輔助影像的模型搜尋技術 / Model Retrieval by Intuitive Sketching and Suggestive Reference李亞憲, Lee, Ya Hsien Unknown Date (has links)
本篇論文建立一個藉由直覺性素描搜尋模型的系統,結合筆觸繪圖搜尋手繪圖與模型。希望可以藉由本系統,提供使用者比起關鍵字或模型搜尋模型,更加方便的模型搜尋工具。系統主要分為建立索引檔、比對特徵向量和使用者介面三個部分。建立索引檔部分要將三維模型處理成資料庫可認知的資料型態,首先將模型旋轉到不同角度並且將之從三維空間描繪成二維模型投影圖,再透過分類演算法把模型投影圖和手繪圖描述為二維特徵向量。比對特徵向量部分需建立手繪圖資料庫和三維模型資料庫的橋梁,藉由計算兩者的特徵向量之間的距離與角度,得到相似度的排序。使用者介面部分提供直覺性使用者繪畫的介面,以不影響使用者創造性的前提下,在使用者繪畫過程中給予最相似於使用者繪畫的手繪圖結果,使用者可以藉由臨摹此結果更貼近所想繪畫的物體,更進一步地取得模型的搜尋結果。最後我們將透過統計方法去驗證系統的有效性。 / We proposed an intuitive model retrieval system with a sketch interface for a database contains sketch drawings and 3D models. Benefit the sketch interface, the proposed system can facilitate the search process better than keyword query or search by 3D model. The system begins with offline indexing preprocess which convert the 3D models into feature vectors. Under best view selection, we render each 3D model into a 2D feature line image. Then classification method will apply the line images and sketching images in model database to build the feature vector. The rank of matching is computed with the angle between the feature vector of input sketch image and feature line images in the database. To extend the usability, we design a sketch interface for searching the best match result during the drawing process. For suggesting the drawing hint, candidate matching results are listed aside to the sketch input screen. We use statistical method to evaluate the feasibility of the proposed system.
|
Page generated in 0.015 seconds