查詢結果分析
來源資料
相關文獻
- 使用可適性YCbCr模型之猜拳遊戲系統
- 人像之數位化妝處理及喜好色
- GLAB: A New Color Difference Formula for Evaluating Large Color Difference
- 彩色地圖跨媒體色外貌模式比較之研究
- 色彩差異因素對物體色色彩調和的影響
- 跨媒體輸出設備彩色印表機之「色彩校正」及「色彩空間轉換」研究
- 手勢辨識研究簡介
- 運用曲率格化空間之手勢姿態辨識
- Determination of the Writing Sequence of Crossing Strokes by CIELAB Color System and Sample Duplication
- 張大千潑墨潑彩畫風之色彩空間探討
頁籤選單縮合
題 名 | 使用可適性YCbCr模型之猜拳遊戲系統=Roshambo Game System Using Adaptive YCbCr Color Model |
---|---|
作 者 | 黃樹林; 張創然; 高國淳; | 書刊名 | 明志學報 |
卷 期 | 43:2 2014.10[民103.10] |
頁 次 | 頁37-43 |
分類號 | 312.13 |
關鍵詞 | 手勢辨識; 色彩空間; 膚色模型; Hand gesture recognition; Color space; Skin color model; |
語 文 | 中文(Chinese) |
中文摘要 | 本論文利用多媒體應用設計出一套能適應在不同光源下,使用對應YCbCr色彩模型的一套猜拳遊戲系統。首先利用usb-webcam讀取手的影像,手勢辨識方法是使用Holden提出的。手勢辨識能否成功主要關鍵是能夠利用膚色模型偵測出手的完整輪廓。因為在不同光源下影像色彩是容易受影響,造成使用固定膚色模型會有所誤差。在本研究中主要探討Holden的方法在各種光源下的辨識效能,同時參考多位學者在RGB、HSV以及YCbCr等不同色彩空間的模型,提出一個可適性膚色模型。經過實驗結果發現這個模型在低光源下有良好的效能,在正常光源下也有不錯的結果。在實驗中會分離出背景找出其Y值,根據此數值的範圍使用相對應的膚色模型。最後再利用形態學之閉合(膨脹1次侵蝕3次)做影像邊緣的修補能把效能再提高。使用可適性膚色模型準確率在低光源下從原來的50%提升至78%,其他光源也達到85%~92%。最後將研究結果實作成一個機器人的猜拳遊戲系統,機器人根據猜拳結果做出相對應的互動,達到一個有趣、有效率的系統。 |
英文摘要 | This paper designs a roshambo game system using adaptive YCbCr model under various light conditions. First, using an usb-webcam to capture the image of a hand, the hand gesture is identified through the method proposed by Holden [2]. The critical element of successfully identifying a hand gesture is using a skin color model to detect the complete contour of the hand. As image color is easily affected under different light sources, using a static skin color will yield errors. This study mainly explores the performance of Holden’s method under various sources of light and references the RGB, HSV, and YCbCr models in different color spaces by several scholars to propose an adaptive skin color model. Experiment results found that this model performs well under low light and decently under regular light. Th`e experiment separates the background to find its’ Y value to utilize the proper skin color model using the value’s range. Finally the morphology of the closure (dilate once, erode thrice) is used to repair the border of the image to increase effect. Using adaptive skin color models, performance of low light was increased from 50% to 78% while other light sources achieved accurate rates of 85%~92%. The research results were used to create a robotic roshambo game system. The robot performs a relative interaction to roshambo results to achieve a fun and efficient system. |
本系統中英文摘要資訊取自各篇刊載內容。