NDLI: Adaptive Region-Based Video Registration

Content Provider	IEEE Xplore Digital Library
Author	Xiao, Jiangjian Zhang, Yunjun Shah, Mubarak
Copyright Year	2005
Description	Author affiliation: University of Central Florida, Orlando (Xiao, Jiangjian; Zhang, Yunjun; Shah, Mubarak)
Abstract	Video registration without meta data (camera location, viewing angles, and reference DEMs) is still a challenging problem. With the aim of handling this kind of problem, this paper presents an adaptive region expansion approach to propagate the alignment process from high confidence areas (reliable salient features) to low confidence areas and to simultaneously remove outlier regions. Hence, we re-cast the image registration problem as a partitioning problem such that we determine the optimal supporting regions and their corresponding motion parameters for the registration. First, we determine sparse robust correspondences between mission and reference images by using our wide baseline algorithm. Next, starting from the seed regions, the aligned areas are expanded to the whole overlapping areas using the graph cut algorithm, which is controlled by the level set representation of the previous region shape. Consequently, a robust video registration is achieved if the scene can be represented by one homography. Furthermore, we extend this approach to multi-homography video registration problem for 3D scenes, which cannot be directly solved by the current alignment methods. Using our motion layer extraction algorithm, the mission video first is segmented into several layers, then each layer is respectively aligned to the reference image by employing the region expansion algorithm. Several examples are demonstrated in the experiments to show that our approach is effective and robust.
Starting Page	215
Ending Page	220
File Size	1324626
Page Count	6
File Format	PDF
ISBN	0769522718
DOI	10.1109/ACVMOT.2005.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-01-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Layout Cameras Image segmentation Image sensors Computer vision Image registration Shape control Computer science Partitioning algorithms
Content Type	Text
Resource Type	Article

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