Titlebook: Video Registration; Mubarak Shah,Rakesh Kumar Book 2003 Springer Science+Business Media New York 2003 DOM.Stereo.communication.image proce

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Generation and Error Characterization of Pararell-Perspective Stereo Mosaics from Real Video,to achieve in real vision applications such as robot navigation ([.]) and environmental monitoring ([., ., .]). In an applications to environmental monitoring, we have previously shown ([., ., .]) that image mosaicing from a translating camera raises a set of different problems from that of circular projections of a rotating camera.

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Model-Based Landmark Extraction and Correspondence Finding for Aerial Image Registration,he image, it is possible to solve the resulting system of non-linear equations for the unknown parameters of the underlying perspective projection. The reliability and accuracy of this registration task strongly depend on the selection of suitable landmarks as well as on the precision of landmark localization.

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Automatic Camera Tracking,de. As an area of endeavour, it has seen both steady and explosive progress over time, and now represents one of the success stories of computer vision. This task, automatic camera tracking or “matchmoving”, is the . of modern special effects, allowing the seamless insertion of computer generated ob

FILLY

Motion Information in the Phase Domain,ss, which is commonly referred to as ., has been widely studied in the literature for different applications such as remote sensing, robotics, and bio-medical imaging [., .]. Registration techniques typically assume that motion can be modeled using a given family of transformations such as rigid, af

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先兆

Model-Based Landmark Extraction and Correspondence Finding for Aerial Image Registration,ps or as a first basis for planning of infrastructure. However, the photogrammetric exploitation of aerial images requires the accurate reconstruction of the imaging geometry which enables to transform arbitrary ground coordinates into image coordinates and vice versa (provided that the height is kn

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Airborne Video Registration for Activity Monitoring,on of a video camera makes it the sensor of choice for such applications. In the past, video sensors were not preferred, precisely because of the high volume of data generated, which had to be processed manually for the most part. Further, the moving platform gives rise to numerous false alarms.

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