Results 61 to 70 of about 29,125 (322)
Scale variant vehicle object recognition by CNN module of multi-pooling-PCA process
Journal of Intelligent and Connected Vehicles, 2023 The moving vehicles present different scales in the image due to the perspective effect of different viewpoint distances. The premise of advanced driver assistance system (ADAS) system for safety surveillance and safe driving is early identification of ...
Yuxiang Guo, Itsuo Kumazawa, Chuyo Kaku
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PERFORMANCE ANALYSIS OF SELECTED FEATURE DESCRIPTORS USED FOR AUTOMATIC IMAGE REGISTRATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Automatic detection and extraction of corresponding features is very crucial in the development of an automatic image registration algorithm. Different feature descriptors have been developed and implemented in image registration and other disciplines ...
O. G. Ajayi
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Environmental target image recognition of coal mine rescue robot
Gong-kuang zidonghua, 2017 In view of problems that traditional scale-invariant feature transform（SIFT） algorithm has calculation redundancy in searching key points of vision images and poor real-time performance in target recognition, an improved SIFT algorithm was proposed which
GONG Gu, ZHU Hua
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ICA-ASIFT-Based Multi-Temporal Matching of High-Resolution Remote Sensing Urban Images
Cybernetics and Information Technologies, 2016 While SIFT (Scale Invariant Feature Transform) features are used to match High-Resolution (HR) remote sensing urban images captured at different phases with large scale and view variations, feature points are few and the matching accuracy is low ...
Huang Fenghua, Mao Zhengyuan, Shi Wenzao
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Performance of Interpolated Histogram of Oriented Gradients on the Feature Calculation of SIFT
Advances in Electrical and Computer Engineering, 2022 Scale Invariant Feature Transform (SIFT) is the most dominant and robust object detection algorithm. It utilizes the Histogram of Oriented Gradients (HOG) method for feature computation.
OZTURK, A., CAYIROGLU, I.
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MATEC Web of Conferences, 2016 Exactly extracting the stable feature of high resolution SAR image as well as matching it are two critical steps for the Antomatic regiestation systems.
Sun Yan Li, Wang Jie
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A feature extraction algorithm based on corner and spots in self-driving vehicles
Journal of Hebei University of Science and Technology, 2017 To solve the poor real-time performance problem of the visual odometry based on embedded system with limited computing resources, an image matching method based on Harris and SIFT is proposed, namely the Harris-SIFT algorithm.
Yupeng FENG +3 more
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Advanced Engineering Materials, EarlyView.A novel approach for alloy development in laser powder bed fusion is introduced. Instead of producing massive samples of one composition at a time, prepressed powder bed samples produced from powder mixtures are processed. Guidelines for the selection of precursor powders are developed.
Felix Großwendt +6 more
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Automatic adaptation of SIFT for robust facial recognition in uncontrolled lighting conditions
IET Computer Vision, 2018 The scale invariant feature transform (SIFT), which was proposed by David Lowe, is a powerful method that extracts and describes local features called keypoints from images. These keypoints are invariant to scale, translation, and rotation, and partially
Meriama Mahamdioua, Mohamed Benmohammed
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Sensors, 2013 Retinal identification based on retinal vasculatures in the retina provides the most secure and accurate means of authentication among biometrics and has primarily been used in combination with access control systems at high security facilities. Recently,
Xiaoming Xi +3 more
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