红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
2期
640-646
,共7页
局部三值微分模式%局部二值模式%人脸识别
跼部三值微分模式%跼部二值模式%人臉識彆
국부삼치미분모식%국부이치모식%인검식별
local ternary derivative pattern%local binary pattern%face recognition
为了减轻噪声干扰，提取更为丰富的人脸鉴别特征，提出了局部三值微分模式算子。通过判断近邻像素灰度值是否在某个范围内对当前像素的局部微分模式从二值扩展到三值，然后将扩展后编码的Uniform模式的空间直方图依次相连形成人脸的特征向量，采用卡方统计算样本相似度并进行分类。在ORL、Yale和CAS-PEAL-R1人脸数据库上的实验结果表明，提出的算法的识别性能优于局部二值模式和局部微分模式。、
為瞭減輕譟聲榦擾，提取更為豐富的人臉鑒彆特徵，提齣瞭跼部三值微分模式算子。通過判斷近鄰像素灰度值是否在某箇範圍內對噹前像素的跼部微分模式從二值擴展到三值，然後將擴展後編碼的Uniform模式的空間直方圖依次相連形成人臉的特徵嚮量，採用卡方統計算樣本相似度併進行分類。在ORL、Yale和CAS-PEAL-R1人臉數據庫上的實驗結果錶明，提齣的算法的識彆性能優于跼部二值模式和跼部微分模式。、
위료감경조성간우，제취경위봉부적인검감별특정，제출료국부삼치미분모식산자。통과판단근린상소회도치시부재모개범위내대당전상소적국부미분모식종이치확전도삼치，연후장확전후편마적Uniform모식적공간직방도의차상련형성인검적특정향량，채용잡방통계산양본상사도병진행분류。재ORL、Yale화CAS-PEAL-R1인검수거고상적실험결과표명，제출적산법적식별성능우우국부이치모식화국부미분모식。、
In order to reduce noise and extract richer discriminant feature, the local ternary local derivative pattern operator was proposed. By determining whether the adjacent pixel gray values within a certain range, the local derivative pattern of current pixel was extended from binary to ternary, and the face feature vector was formed by sequentially connecting the uniform pattern of the space histogram of the encode. The chi-square statistic was used to calculate the sample similarity of face feature vector. The experimental results on ORL, Yale and CAS -PEAL -R1 face database show that the recognition performance of the proposed algorithm was superior to local binary pattern and local derivative pattern.
