Single-Perspective Warps in Natural Image Stitching
Single-Perspective Warps in Natural Image Stitching
复制标题
自然图像拼接中的单视角扭曲
DOI：
10.1109/tip.2019.2934344
复制
发表时间：
2020-01-01
影响因子：
10.6
通讯作者：
Li, Nan
中科院分区：
文献类型：
--
作者：
Liao, Tianli;Li, Nan
图像拼接的结果在感知上可以分为单视角和多视角。与多视角结果相比，单视角结果具有较好的视角一致性，但存在投影畸变。在本文中，我们提出了两种用于自然图像拼接的单视角扭曲。第一种是参数经纱，它是基于双特征的尽可能投射经纱和准单应经纱的增量组合。第二种是基于网格的经纱，它是通过优化总能量函数来确定的，该函数同时强调单视角经纱的不同特征，包括对齐、扭曲和显著性。综合评估表明，所提出的翘曲在城市场景中优于一些最先进的翘曲，包括APAP， AutoStitch， SPHP和GSP。
Results of image stitching can be perceptually divided into single-perspective and multiple-perspective. Compared to the multiple-perspective result, the single-perspective result excels in perspective consistency but suffers from projective distortion. In this paper, we propose two single-perspective warps for natural image stitching. The first one is a parametric warp, which is an incremental combination of the dual-feature-based as-projective-as-possible warp and the quasi-homography warp. The second one is a mesh-based warp, which is determined by optimizing a total energy function that simultaneously emphasizes different characteristics of the single-perspective warp, including alignment, distortion and saliency. A comprehensive evaluation demonstrates that the proposed warp outperforms some state-of-the-art warps in urban scenes, including APAP, AutoStitch, SPHP and GSP.