关键词：几何特性；最小化矩阵；图像通信；3D
摘 要：We present a novel algorithm to acquire and analyzerich 3D geometric features in single urban images. Traditional representation of 3D structures via local image features lack global geometric information to provide high-quality image correspondence and 3D models. The new approach utilizes the low-rank representation technique to seek a new class of invariant features based on minimizing the matrix rank of image textures, which are more holistic with respect to global geometric information, invariant tocamera distortion, and robust to pixel corruption.