Markov random field modeling in image analysis
Markov random field modeling in image analysis
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
Panorama weaving: fast and flexible seam processing
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
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Constructing panoramas from an image series is a fundamental task for photo-editing. State-of-the-art photo-editing softwares generally provide automatic stitching routines that first perform image warping followed by seam-cutting or blending to hide misalignment artifacts. This latter step to hide registration errors is often crucial for achieving a perceptually seamless panorama. However, when this step fails, there are no customized photo-editing tools to allow the user to efficiently hide visual artifacts. In this paper, we introduce a simple and effective interactive tool for correcting panoramas. In particular, we describe two features: 1) a seam-editing tool that allows the user to modify blending seams in a local manner; and 2) a content-aware snapping tool to help the user better align local image content between overlapping images.