Variable remapping of images from very different sources
ICIP(2011)
摘要
We present a system which registers image sequences acquired by very different sources, so that multiple views could be transformed to the same coordinates system. This enables the functionality of automatic object identification and confirmation across views and platforms. The capability of the system comes from three ingredients: 1) image context enlargement through temporal integration; 2) robust motion estimation using the G-RANSAC framework with a relaxed correspondence criteria; 3) constrained motion estimation within the G-RANSAC framework. The proposed system has worked successfully on thousands of frames from multiple collections with significant variations in scale and resolution.
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关键词
temporal integration,constrained motion estimation,variable image remapping,automatic object identification,coordinates system,motion estimation,image sequences,image sequence registration,g-ransac framework,image registration,image enhancement,image context enlargement,estimation,robustness,coordinate system
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