カスケード式のオーバ・コンプリート・ディクショナリに基づいた画像認識システム

摘要

Certain embodiments of the present disclosure relate to a technique for image reconstruction that employs cascaded over-complete dictionaries (i.e., collections of bases) for extracting features and building representations for images at different reconstruction levels. Each dictionary on a different reconstruction level can be learned and optimized for the purpose of capturing either generic or discriminative features. By finding sparse representations through the cascaded dictionaries, an image can be reconstructed and recognized.