06018901

j

06018901 Sangineto, Enver Cupelli, Marco Real-time viewpoint-invariant hand localization with cluttered backgrounds. Image Vis. Comput. 30, No. 1, 26-37 (2012). 2012 Elsevier, Amsterdam EN hand detection articulated object recognition model based techniques geometric constraints graph matching curve matching

doi:10.1016/j.imavis.2011.11.004

Summary: Over the past few years there has been a growing interest in visual interfaces based on gestures. Using gestures as a mean to communicate with a computer can be helpful in applications such as gaming platforms, domotic environments, augmented reality or sign language interpretation to name a few. However, a serious bottleneck for such interfaces is the current lack of accurate hand localization systems, which are necessary for tracking (re-)initialization and hand pose understanding. In fact, human hand is an articulated object with a very large degree of appearance variability which is difficult to deal with. For instance, recent attempts to solve this problem using machine learning approaches have shown poor generalization capabilities over different viewpoints and finger spatial configurations.