利用稀疏主分量分析实现目标识别中的特征提取，包括论文和仿真代码。-Informative Feature Selection for Object Recognition via Sparse PCA

SIFT特征和正交DLT算法在物体识别中的应用.-SIFT features and orthogonal DLT algorithm in object recognition.

Object detection and tracking are important in many computer vision applications including activity recognition, automotive saf ety, and surveillance. In this example, you w ill develop a simple f ace tracking system by dividing the tracking probl