Proceedings ArticleDOI
A parametric template method and its application to robust matching
Kouichi Tanaka,Mutsuo Sano,S. Ohara,M. Okudaira +3 more
- Vol. 1, pp 1620-1627
TLDR
A template-matching method in which a parametric template space is constructed from a given set of template images then quickly matched to a reference image that yields a high-precision estimation of the object position is proposed.Abstract:
We propose a template-matching method in which a parametric template space is constructed from a given set of template images then quickly matched to a reference image. In this method geometrical changes in an image object due to translation, rotation or scaling, and non-geometrical changes such as illumination variations or individual variation between objects are represented by template images in the parametric template space. The method also provides a subpixel matching scheme that yields a high-precision estimation of the object position. Experiments using real images have confirmed the effectiveness of the method.read more
Citations
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Book
Template Matching Techniques in Computer Vision: Theory and Practice
TL;DR: This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications.
Journal ArticleDOI
Multisensor Fusion and Integration: Theories, Applications, and its Perspectives
TL;DR: The multisensor fusion and integration (MFI) as mentioned in this paper aims to provide the system a more accurate perception enabling an optimal decision to be made, which is the most frequently used algorithms.
Journal ArticleDOI
Multisensor Fusion and Integration: A Review on Approaches and Its Applications in Mechatronics
Ren C. Luo,Chih-Chia Chang +1 more
TL;DR: The architecture and algorithms of MFI are reviewed, and some implementation examples in industrial automation and robotic applications are presented and the most frequently used algorithms in previous researches with their advantages and limitations are summarized.
Journal ArticleDOI
Template matching using the parametric template vector with translation, rotation and scale invariance
Yi-Hsien Lin,Chin-Hsing Chen +1 more
TL;DR: Experiments with Gaussian noise demonstrate that the proposed algorithm is robust to detect the target object with the changes of translation, orientation and scale, and is suitable for on-line template matching with scene translation, rotation and scaling.
References
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Journal ArticleDOI
Recognition by linear combinations of models
Shimon Ullman,R. Basri +1 more
TL;DR: An approach to visual object recognition in which a 3D object is represented by the linear combination of 2D images of the object is proposed and it is shown that for objects with sharp edges as well as with smooth bounding contours, the set of possible images of a given object is embedded in a linear space spanned by a small number of views.
Journal ArticleDOI
Object matching using deformable templates
TL;DR: A Bayesian scheme, which is based on prior knowledge and the edge information in the input image, is employed to find a match between the deformed template and objects in the image and computational efficiency is achieved via a coarse-to-fine implementation of the matching algorithm.
Journal ArticleDOI
Vehicle segmentation and classification using deformable templates
TL;DR: A segmentation algorithm using deformable template models to segment a vehicle of interest both from the stationary complex background and other moving vehicles in an image sequence is proposed and solved by the Metropolis algorithm.
Journal ArticleDOI
Automated Cloud Tracking Using Precisely Aligned Digital ATS Pictures
E. A. Smith,D. R. Phillips +1 more
TL;DR: A man-computer system called WINDCO has been developed to measure cloud motion from ATS pictures, capable of providing cloud motion measurements that are repeatable to within 6 knots over two independent time intervals in the majority of cases.
Journal ArticleDOI
Objective Methods for Registering Landmarks and Determining Cloud Motions from Satellite Data
TL;DR: In this paper, computer algorithms are described for matching the earth's disk, giving a global registration; a more precise local registration is then achieved by matching landmarks, and the disk matching and the template matching are combined in the complete subsystem for registration.
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