Matching of images with projective distortion using transform invariant low-rank textures

作者：Zhang, Qiang^*; Li, Yajun; Blum, Rick S.; Xiang, Peng

来源：Journal of Visual Communication and Image Representation, 2016, 38: 602-613.

DOI：10.1016/j.jvcir.2016.04.007

• Image matching
• Projective distortion
• Transform invariant low-rank textures (TILT)
• Automatic low-rank texture region detection
• Geometric shape descriptor

A matching method is presented for images with projective distortion based on transform invariant low rank textures (TILT). In the method, the problem of matching images with projective distortion is first reduced to a problem of matching two rectified images just with scaling and translation distortions via TILT. Then a point-feature based matching method is employed to establish the corresponding points between the two rectified images. This is different from some traditional methods that try to directly seek local affine or projective invariants from input images. Moreover, no prior knowledge on the epipolar geometry is required in the proposed method. An automatic low-rank texture region detection method is presented to make the method more applicable in practice. Additionally, a new descriptor is constructed by combining a proposed geometric shape descriptor and the traditional SIFT descriptor to further improve the correct matching rate. Experimental results demonstrate the validity of the proposed method.

• 出版日期2016-7
• 单位西安电子科技大学