Results 271 to 280 of about 259,759 (314)

A flexible algorithm for image matching

Proceedings 11th International Conference on Image Analysis and Processing, 2002
We propose a method for measuring the similarity between grey level images. The method is able to match images successfully even in the presence of small geometric deformations, illumination changes, and severe occlusions. It fits naturally an implementation based on a comparison of data structures which requires no numerical computations. The range of
ODONE, FRANCESCA, Trucco E, VERRI, ALESSANDRO   +2 more
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A Meta Method for Image Matching

IEEE Transactions on Medical Imaging, 2011
This paper presents a novel system for image matching in optical endoscopy. The proposed metamatching system approaches the challenge of matching images in a complex scene by incorporating multiple matchers and a decision function. Experiments are presented for Crohn's disease lesion matching in capsule endoscopy with a metamatcher consisting of five ...
Sharmishtaa Seshamani, Rajesh Kumar 0001, Gerard Mullin, Themistocles Dassopoulos, Gregory D. Hager   +4 more
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Efficient Image and Sentence Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Recently, the accuracy of image and sentence matching has been continuously improved by larger and larger models. However, such large models not only need huge storage space but also slow down inference speed, which are not very suitable for low-cost devices in real-world applications.
Yan Huang 0008, Yuming Wang, Liang Wang 0001   +2 more
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Aligned matching: An efficient image matching technique

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
Local feature based methods have achieved a great success in the field of image matching due to its invariance under typical image transformations. However, local features are often not invariant under complex non-affine transformations, which makes the matching methods ineffective.
Duanduan Yang, Andrzej Sluzek
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A theory of image matching

[1990] Proceedings Third International Conference on Computer Vision, 2002
A theoretical framework is presented in which windowed Fourier phase (WFP) is introduced as the primary matching primitive. Zero-crossings and peaks correspond to special values in the phase profile. The WFP is quasi-linear, dense and its spatial period and slope are controlled by the channel scale.
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Compressed Pattern Matching in JPEG Images

Data Compression Conference, 2005
The possibility of applying compressed matching in JPEG encoded images is investigated and the problems raised by the scheme are discussed. A part of the problems can be solved by the use of some auxiliary data which yields various time/space trade-offs. Finally, approaches to deal with extensions such as allowing scaling or rotations are suggested.
Shmuel T. Klein, Dana Shapira
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Image mosaicing by stratified matching

Image and Vision Computing, 2004
Abstract 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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Template Matching in Rotated Images

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1985
A rotationally invariant template matching using normalized invariant moments is described. It is shown that if normalized invariant moments in circular windows are used, then template matching in rotated images becomes similar to template matching in translated images.
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Deformation invariant image matching

Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005
We 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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Matching of infrared and visible images

2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
A 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, Lihui Sun, Shijie Zhang, Wei Yang, Rui Wang, Zhi Geng   +5 more
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