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Image stitching with dynamic elements
DOI:10.1016/j.imavis.2009.03.004.png)
摘要
En 中文
This paper presents a new combination of techniques to create pleasing and physically consistent image mosaics despite the presence of moving objects in the scene. The technique uses heuristic seam selection in the intensity and gradient-domains to choose which pixels to use from each image and then blends them smoothly to create the final mosaic. We demonstrate illustrative results obtained by comparing and contrasting our output with that obtained from four representative existing image mosaic systems. One of these is documented in the academic research literature and three are commercially available products. The present algorithm gives comparable or superior results in all examples. (C) 2009 Elsevier B.V. All rights reserved.
Keyword:
Image stitching
Mosaic
Blending
Computer vision
SIFT
Optimal seam selection
Panorama
Parallax
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4.2
论文数:
4.1K
被引数:
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引用论文
RANDOM SAMPLE CONSENSUS - A PARADIGM FOR MODEL-FITTING WITH APPLICATIONS TO IMAGE-ANALYSIS AND AUTOMATED CARTOGRAPHY随机样本共识-模型拟合的范例,可应用于图像分析和自动制图

