Results 221 to 230 of about 229,679 (265)
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Image mosaicing by stratified matching
Image and Vision Computing, 2004Abstract We present a robust method for automatically matching points over two images for image mosaicing: after extracting feature points using a feature detector, we progressively estimate the rotation, the scale change, and the projective distortion between the two images by random voting and variable template matching.
Yasushi Kanazawa, Ken-ichi Kanatani
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Maximum-likelihood image matching [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002 Image-matching applications, such as tracking and stereo, commonly use the sum-of-squared-difference (SSD) measure to determine the best match. However, this measure is sensitive to outliers and is not robust to template variations. Alternative measures have also been proposed that are more robust to these issues.
exaly +3 more sources
Matching of infrared and visible images
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012A new matching method based on improved Nonsubsampled contourlet transform (NSCT) is put forward to solve the problem of low matching precision in matching of infrared and visible images. Firstly, improved NSCT is introduced; then, improved NSCT disassembly is done; next, energy at each little region is calculated to compose circumcircle.
Junshan Li +5 more
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On Image Enhancement for Unsupervised Image Description and Matching
2019An image enhancer improves the visibility and readability of the content of any input image by modifying one or more features related to vision perception. Its performance is usually assessed by quantifying and comparing the level of these features in the input and output images and/or with respect to a gold standard, often regardless of the ...
Michela Lecca +2 more
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Deformation invariant image matching
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D space, with intensity weighted relative to distance in x-y. We show that as this weight increases, geodesic distances on the embedded surface are less affected by image ...
Haibin Ling, David W. Jacobs
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Contour Matching in Omnidirectional Images
2007This paper presents a novel method for contour matching in the architectural scenes captured by the omnidirectional camera. Since most line segments of man-made objects are projected to lines and contours, contour matching problem is important for 3D analysis in an omnidirectional indoor scene.
Yong Ho Hwang, Jaeman Lee, Hyun-Ki Hong
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Pattern matching in a digitized image
Algorithmica, 1994The continuous pattern matching problem is defined. Given are two pictures, each consisting of unicolor regions; one picture is called the scene and the other the pattern. The problem is to find all occurrences of the pattern in the scene. As a step towards efficient algorithmic handling of the continuous pattern matching problem by computers, where ...
Gad M. Landau, Uzi Vishkin
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Color matching for image retrieval
Pattern Recognition Letters, 1995Abstract Color is an important attribute for image matching and retrieval. We present two new color matching methods, the “Reference Color Table Method” and a “Distance Method”, for image retrieval. Both these methods and an existing method “Histogram Intersection” were implemented and tested for a database size of 170 color images.
Babu M. Mehtre +3 more
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Matching stereo satellite images
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 2003Stereo SPOT satellite images were matched by extracting and then matching linear features. The features were extracted by grouping pixels into regions upon similar gradient orientation. Lines are fitted to regions and parameters calculated providing a rich set of attributes, which are then used to match corresponding features in the stereo images. >
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Image steganography by wavelet matching
Journal of Electronic Imaging, 2009We introduce a new steganography method for embedding message bits into images by utilizing the mathematical relation between the image and transformation domains. The proposed method matches the message bit sequences with the coefficients of the discrete Haar wavelet transformation (DHWT) by modifying the pixels related to those coefficients.
Nafiz Arica, Ömer Kurtuldu
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