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We propose a contextual framework for 2D image matching and registration using an ensemble feature. Our system is beneficial for registering image pairs that have captured the same scene but have large visual discrepancies between them. It is common to encounter challenging visual variations in image sets with artistic rendering differences or in those(More)
Registering 2D and 3D data is a rapidly growing research area. Motivating much of this work is the fact that 3D range scans and 2D imagery provide different, but complementing information about the same subject. Combining these two perspectives leads to the creation of accurate 3D models that are texture mapped with high resolution color information.(More)
In the event of natural or man-made disasters, many videos may be collected by civilians and surveillance cameras that can be extremely useful for first responders trying to ascertain the extent of the damage. However, watching and analyzing numerous videos on separate screens can be a cumbersome task. Registering a set of 2D videos with a 3D model can(More)
Matching and aligning architectural imagery is an important step for many applications but can be a difficult task due to repetitive elements often present in buildings. Many keypoint descriptor and matching methods will fail to produce distinctive descriptors for each region of man-made structures, which causes ambiguity when attempting to match areas(More)
BACKGROUND AND PURPOSE Elevated low density lipoprotein and reduced high density lipoprotein cholesterol may increase the risk of atherothrombotic brain infarction, but the metabolic mechanisms accounting for this relation are poorly understood. METHODS The kinetic parameters of low density and high density lipoprotein were studied in nine subjects with(More)
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