【摘要】：為滿(mǎn)足手指交互系統(tǒng)的需要,并能夠達(dá)到對(duì)傾斜指勢(shì)進(jìn)行準(zhǔn)確識(shí)別的要求,本文介紹了一種快速、準(zhǔn)確對(duì)指尖檢測(cè)定位并實(shí)時(shí)識(shí)別傾斜指勢(shì)的方法。該方法利用YCb Cr顏色空間分割算法對(duì)膚色聚類(lèi)進(jìn)行粗分割,然后運(yùn)用"周積比"概念對(duì)預(yù)處理區(qū)域進(jìn)行細(xì)化分割,剔除除手部以外的膚色干擾區(qū)域并利用最小二乘法二項(xiàng)式擬合算法獲取手指輪廓。采用改進(jìn)的凸包絡(luò)優(yōu)化算法完成指尖的檢測(cè)及傾斜修正。最后,進(jìn)行局部掃描獲得最終的指勢(shì)識(shí)別。實(shí)驗(yàn)表明本文介紹的方法能實(shí)現(xiàn)簡(jiǎn)單傾斜指勢(shì)0?9的識(shí)別且識(shí)別率高達(dá)95.7%,穩(wěn)定性較好。
[Abstract]:In order to meet the needs of finger interaction system and to recognize the tilted finger potential accurately, this paper introduces a fast and accurate method to detect and locate the finger tip and identify the tilting finger potential in real time. In this method, YCb Cr color space segmentation algorithm is used for rough segmentation of skin color clustering, and then the concept of "circumference ratio" is used to refine and segment the preprocessed region. The skin color interference area except the hand is eliminated and the finger contour is obtained by using the least square binomial fitting algorithm. The improved convex envelope optimization algorithm is used to detect and correct the fingertips. Finally, the final finger potential recognition is obtained by local scanning. The experimental results show that the method presented in this paper can realize the recognition of simple tilting finger potential 0 / 9 and the recognition rate is as high as 95.7 and the stability is good.
【作者單位】： 上海大學(xué)新型顯示技術(shù)及應(yīng)用集成教育部重點(diǎn)實(shí)驗(yàn)室;上海大學(xué)微電子研究與開(kāi)發(fā)中心;
【基金】：國(guó)家自然科學(xué)基金(61376028)資助項(xiàng)目
【分類(lèi)號(hào)】：TP391.41
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本文編號(hào)：2293150