Jun-Wei Hsieh, Hong-Yuan Mark Liao, Kuo-Chin Fan, Ming-Tat Ko, Yi-Ping Hung  Home/Search
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Abstract: A new edge--based approach for efficient image registration is proposed. The proposed approach applies wavelet transform to extract a number of feature points as the basis for registration. Each selected feature point is an edge point whose edge response is the maximum within a neighborhood. By using a line--fitting model, all the edge directions of the feature points are estimated from the edge outputs of a transformed image. In order to estimate the orientation difference between two... (Update)
Context of citations to this paper: More
...is fixed with a known angle ff to the ground. Seen from a general view (figure 2) the optical axis of any images are parallel. Hsieh ([1]) made similar assumptions for 2D registration. Besl [2] applied a global shape matching algorithm over all six degrees of freedom based on...
...features. For an image with many high frequency components, only local maxima of the edge points are retained as image feature points [3], as shown in Figure 2. This is done in order to improve the efficiency for calculating matching feature points between the two...
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BibTeX entry: (Update)
J.W. Hsieh, H.Y.M. Liao, K.C. Fan, M.T. Ko, and Y.P. Hung. Image registration using a new edgebased approach. CVIU, 67(2):112--130, August 1997. http://citeseer.ist.psu.edu/227458.html More
@article{ hsieh97image,
author = "Jun-Wei Hsieh and Hong-Yuan Mark Liao and Kuo-Chin Fan and Ming-Tat Ko and Yi-Ping Hung",
title = "Image Registration Using a New Edge-Based Approach",
journal = "Computer Vision and Image Understanding: CVIU",
volume = "67",
number = "2",
pages = "112--130",
year = "1997",
url = "citeseer.ist.psu.edu/227458.html" }
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