Results 261 to 270 of about 282,520 (286)

A matching algorithm on statistical properties of Harris corner

2011 IEEE International Conference on Information and Automation, 2011
The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation.
null Baigen He, null Zhu Ming, null Yajuan Wei   +2 more
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Improved Harris Hawks Optimization Algorithm

Concurrency and Computation: Practice and Experience
ABSTRACTThe Harris Hawks Optimization (HHO) algorithm is a nature‐inspired metaheuristic that mimics the cooperative hunting behavior of hawks. Despite its success in various optimization tasks, it suffers from several limitations, including low computational accuracy, a tendency to become trapped in local optima, and difficulty in balancing ...
Xiaopei Liu, Yong Zhang, Yanqin Li, Bai Yu, Qi Chen   +4 more
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An Adaptive Harris Corner Detection Algorithm for Image Mosaic

2014
Image Stitching refers to the technology fusing more than one images with overlapping part into a large field of view image. Image mosaic consists of image preprocessing, image registration and image fusion. To solve problems of serious clustering phenomenon and fewer corner points in the texture region caused by traditional Harris Corner detection ...
Haixia Pan, Yanxiang Zhang 0002, Chunlong Li, Huafeng Wang   +3 more
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Fast image mosaic algorithm based on the improved Harris-SIFT algorithm

SPIE Proceedings, 2015
This paper proposes a fast image mosaic algorithm based on the improved Harris-SIFT algorithm, according to such problems as more memory consumption, greater redundancy quantity of feature points, slower operation speed, and so on, resulting from using the SIFT algorithm in the image matching stage of the image mosaic process.
Zetao Jiang, Min Liu
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An Indoor Mobile Visual Localization Algorithm Based On Harris-Sift

Intelligent Automation & Soft Computing, 2012
Abstract Through the installation of a monocular vision sensor on a target and shooting sequence images of the floor, combined with the characteristics of the sequence images, an indoor mobile visual localization algorithm based on Hams-SIFT is proposed. The algorithm is first to establish first-order DOG scale space of sequence images of the floor, to
Huiqing Zhang, Chen Xu, Xuejin Gao, Luguang Cao   +3 more
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A Corner Matching Algorithm Based on Harris Operator

2010 2nd International Conference on Information Engineering and Computer Science, 2010
Image Matching is a fundamental tasks in image processing used to match two or more images, for example, at different time ,from different viewpoints, Registration is the foundation of many image processing and applications such as object recognition, change detection, 3-D modeling.
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An island parallel Harris hawks optimization algorithm

Neural Computing and Applications, 2022
Tansel Dökeroglu, Ender Sevinç
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An Improved Harris-SIFT Algorithm for Image Matching

2018
In view of the feature points extracted by the SIFT algorithm can not fully represent the structure of the object and the computational complexity is high, an improved Harris-SIFT image matching algorithm is proposed. Firstly, the feature points of the image are extracted by Harris corner detection operator.
Yu Cao, Bo Pang, Xin Liu, Yan-li Shi
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Algorithm for automatic image registration on Harris-Laplace features

Journal of Applied Remote Sensing, 2009
In order to overcome the difficulty of automatic registration between the images of different rotations and resolutions, this paper presents a new image registration algorithm. In the algorithm, Harris-Laplace detector is applied to extract image features; a method named scale-space projection based on scale-invariance of Harris-Laplace is proposed ...
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Nonlinear-based Chaotic Harris Hawks Optimizer: Algorithm and Internet of Vehicles application

Applied Soft Computing Journal, 2021
Amin Abdollahi Dehkordi, ali safaa Sadiq, Seyedali Mirjalili   +2 more
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