title: A quasi-dense matching approach and its calibration application with Internet photos.
abstract: 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.
authors: Yanli
authors: Y
authors: Wan
authors: Zhenjiang
authors: Z
authors: Miao
authors: Q M Jonathan
authors: QM
authors: Wu
authors: Xifu
authors: X
authors: Wang
authors: Zhen
authors: Z
authors: Tang
authors: Zhifei
authors: Z
authors: Wang