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Journal ArticleDOI

Rectangling panoramic images via warping

Kaiming He, +2 more
- Vol. 32, Iss: 4, pp 79
TLDR
This paper presents a content-aware warping algorithm that generates rectangular images from stitched panoramic images, and demonstrates that the results are often visually plausible, and the introduced distortion is often unnoticeable.
Abstract
Stitched panoramic images mostly have irregular boundaries. Artists and common users generally prefer rectangular boundaries, which can be obtained through cropping or image completion techniques. In this paper, we present a content-aware warping algorithm that generates rectangular images from stitched panoramic images. Our algorithm consists of two steps. The first local step is mesh-free and preliminarily warps the image into a rectangle. With a grid mesh placed on this rectangle, the second global step optimizes the mesh to preserve shapes and straight lines. In various experiments we demonstrate that the results of our approach are often visually plausible, and the introduced distortion is often unnoticeable.

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Citations
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Book ChapterDOI

PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding

TL;DR: Experiments show that solely based on 3D context without any image region category classifier, the proposed whole-room context model can achieve a comparable performance with the state-of-the-art object detector, demonstrating that when the FOV is large, context is as powerful as object appearance.
Book ChapterDOI

Natural Image Stitching with the Global Similarity Prior

TL;DR: This paper proposes a method for stitching multiple images together so that the stitched image looks as natural as possible and consistently outperforms several state-of-the-art methods, including AutoStitch, APAP, SPHP and ANNAP.
Book ChapterDOI

SEAGULL: Seam-Guided Local Alignment for Parallax-Tolerant Image Stitching

TL;DR: A novel structure-preserving warping method is introduced to preserve salient curve and line structures during the warping to substantially improve the effectiveness of this method in dealing with a wide range of challenging images with large parallax.
Journal ArticleDOI

Parallax-Tolerant Image Stitching Based on Robust Elastic Warping

TL;DR: A parallax-tolerant image stitching method based on robust elastic warping, which could achieve accurate alignment and efficient processing simultaneously and is highly compatible with different transformation types.
Journal ArticleDOI

Panoramic Video from Unstructured Camera Arrays

TL;DR: An error measure with increased sensitivity to stitching artifacts in regions with pronounced structure is introduced and the basic concept of local warping for parallax removal is extended, forming the first system for spatiotemporally stable panoramic video stitching from unstructured camera array input.
References
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Proceedings ArticleDOI

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