A Quasi-Dense Matching Approach and its Calibration Application with Internet Photos

作者：Wan Yanli^*; Miao Zhenjiang; Wu Q M Jonathan; Wang Xifu; Tang Zhen; Wang Zhifei

来源：IEEE Transactions on Cybernetics, 2015, 45(3): 370-383.

DOI：10.1109/TCYB.2014.2326255

• Camera calibration
• dense matching
• match propagation
• quasi-dense correspondences
• self-calibration
• wide-baseline

This paper proposes a quasi-dense matching approach to the automatic acquisition of camera parameters, which is required for recovering 3-D information from 2-D images. An affine transformation-based optimization model and a new matching cost function are used to acquire quasi-dense correspondences with high accuracy in each pair of views. These correspondences can be effectively detected and tracked at the sub-pixel level in multiviews with our neighboring view selection strategy. A two-layer iteration algorithm is proposed to optimize 3-D quasi-dense points and camera parameters. In the inner layer, different optimization strategies based on local photometric consistency and a global objective function are employed to optimize the 3-D quasi-dense points and camera parameters, respectively. In the outer layer, quasi-dense correspondences are resampled to guide a new estimation and optimization process of the camera parameters. We demonstrate the effectiveness of our algorithm with several experiments.

• 出版日期2015-3
• 单位北京交通大学