Application of Improved Gesture Recognition Algorithm Based-on Density Distribution Feature
Basing on the Density Distribution Feature method, present a new hand recognition method according to color space which could recognize hand in real time vision. First, establish the standard Skin-Color Model, and make the Skin-Color model adapt to different users skin color which is to segment the skin color accurately. Then use the density distribution feature of hand to recognize hand gestures, and the shape features of gestures could be obtained by computing the disposition of pixel points in hand areas with different distance. Experimentations show that, the improved method could detection hand in complex background, no meter if the rotation angel and proportion are large or small. Several experimental images are presented to support the validity of the method.
hand gesture recognition shape features skin color model density distribution
Baoyun Zhang Ruwei Yun Chuanbo Weng
Digital Entertainment Research Center, Nanjing Normal University, Nanjing, 210097, China State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310027, China
国际会议
太原
英文
233-237
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）