An efficient compression algorithm for multi-view video sequences, which are captured by two-dimensional (2d) cameraarrays, is proposed in this work. First, we propose a novel prediction structure, called three-dimen...
详细信息
An efficient compression algorithm for multi-view video sequences, which are captured by two-dimensional (2d) cameraarrays, is proposed in this work. First, we propose a novel prediction structure, called three-dimensional hierarchical B prediction (3dHBP), which can efficiently reduce horizontal inter-view redundancies, vertical inter-view redundancies, and temporal redundancies in multi-view videos. Second, we develop a view interpolation scheme based on the bilateral disparity estimation. The interpolation scheme yields high quality view frames by adapting disparity estimation and compensation procedures using the information in neighboring frames. Simulation results demonstrate that the proposed multi-view video coding algorithm provides significantly better rate-distortion (R-d) performance than the conventional algorithm, by employing the 3dHBP structure and using interpolated view frames as additional reference frames. 2009 Elsevier Inc. All rights reserved.
camera calibration methods are commonly evaluated on cumulative reprojection error metrics, on disparate one-dimensional datasets. To evaluate calibration of cameras in two-dimensional arrays, assessments need to be m...
详细信息
ISBN:
(纸本)9781509033133
camera calibration methods are commonly evaluated on cumulative reprojection error metrics, on disparate one-dimensional datasets. To evaluate calibration of cameras in two-dimensional arrays, assessments need to be made on two-dimensional datasets with constraints on camera parameters. In this study, accuracy of several multi-camera calibration methods has been evaluated on camera parameters that are affecting view projection the most. As input data, we used a 15-viewpoint two-dimensional dataset with intrinsic and extrinsic parameter constraints and extrinsic ground truth. The assessment showed that self-calibration methods using structure-from-motion reach equal intrinsic and extrinsic parameter estimation accuracy with standard checkerboard calibration algorithm, and surpass a well-known self-calibration toolbox, BlueCCal. These results show that self-calibration is a viable approach to calibrating two-dimensional cameraarrays, but improvements to state-of-art multi-camera feature matching are necessary to make BlueCCal as accurate as other self-calibration methods for two-dimensional cameraarrays.
暂无评论