IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , VOL . ? , NO . ? , ? 2007 1 Image Stitching Using Structure Deformation
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , VOL . ? , NO . ? , ? 2007 1 Image Stitching Using Structure Deformation
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发表时间：
2007
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通讯作者：
Jiaya Jia;Chi-Keung Tang
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作者：
Jiaya Jia;Chi-Keung Tang
本文的目的是实现无缝图像拼接，而不会产生严重的强度差异和结构错位造成的视觉伪影，给定的输入图像是粗略对齐或全局配准。我们的新方法是基于结构变形和传播，以实现图像结构和强度的整体一致性。新的拼接算法，已发现在图像合成，图像融合，和强度校正的应用，包括以下主要过程。根据在图像平面中检测到的2-D特征的兼容性和独特性，在强度相干性和结构连续性的约束下计算单或双最佳分区。然后，沿着计算出的最佳分区沿着检测特定的1-D特征，从该最佳分区导出一组稀疏变形向量以编码分区之间的1-D特征匹配。这些稀疏的变形线索鲁棒地传播到输入图像通过解决相关的最小化问题在梯度域，从而提供了一个统一的框架，同时对齐的图像结构和强度。我们目前的结果在一般的图像合成和混合，以显示我们的方法在复杂的输入图像产生无缝拼接结果的有效性。
The aim of this paper is to achieve seamless image stitching without producing visual artifact caused by severe intensity discrepancy and structure misalignment, given that the input images are roughly aligned or globally registered. Our new approach is based on structure deformation and propagation for achieving overall consistency in image structure and intensity. The new stitching algorithm, which has found applications in image compositing, image blending, and intensity correction, consists of the following main processes. Depending on the compatibility and distinctiveness of the 2-D features detected in the image plane, single or double optimal partitions are computed subject to the constraints of intensity coherence and structure continuity. Afterwards, specific 1-D features are detected along the computed optimal partitions, from which a set of sparse deformation vectors is derived to encode 1-D feature matching between the partitions. These sparse deformation cues are robustly propagated into the input images by solving the associated minimization problem in gradient domain, thus providing a uniform framework for the simultaneous alignment of image structure and intensity. We present results in general image compositing and blending, in order to show the effectiveness of our method in producing seamless stitching results from complex input images.