Results 51 to 60 of about 29,125 (322)
Robust image matching algorithm using SIFT on multiple layered strategies [PDF]
, 2013 As for the unsatisfactory accuracy caused by SIFT (scale-invariant feature transform) in complicated image matching, a novel matching method on multiple layered strategies is proposed in this paper. Firstly, the coarse data sets are filtered by Euclidean
Chen, Y., Hu, E., Shang, L.
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Palm pattern recognition using scale invariant feature transform
International Journal of Intelligence and Sustainable Computing, 2020 In this research paper, we propose an efficient scale invariant feature transform (SIFT) for palm pattern recognition. A fingerprint recognition which is efficient for individual authentication based on fingerprint pattern.
Kalaiselvi A, Sangeetha V, K. M
semanticscholar +1 more source
Adaptive depth constraint-based underwater binocular image feature matching
Zhongguo Jianchuan Yanjiu, 2021 Objective In this paper, to address sparse feature points and unique epipolar constraints, an adaptive depth constraint-based underwater feature matching (ADC-UFM) scheme is proposed.
Jiahe TIAN +4 more
doaj +1 more source
Multiscale registration of remote sensing image using robust SIFT features in Steerable-Domain
Egyptian Journal of Remote Sensing and Space Sciences, 2011 This paper proposes a multiscale registration technique using robust Scale Invariant Feature Transform (SIFT) features in Steerable-Domain, which can deal with the large variations of scale, rotation and illumination between images.
Xiangzeng Liu +3 more
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Automatic registration of remote sensing images based on SIFT and fuzzy block matching for change detection [PDF]
International Journal of Computational Intelligence Systems, 2011 This paper presents an automated image registration approach to detecting changes in multi-temporal remote sensing images. The proposed algorithm is based on the scale invariant feature transform (SIFT) and has two phases. The first phase focuses on SIFT
Cai Guo-Rong +4 more
doaj +1 more source
Journal of Medical Signals & Sensors, 2020 Background: Deep learning methods have become popular for their high-performance rate in the classification and detection of events in computer vision tasks.
Alessandro Bruno +3 more
semanticscholar +1 more source
Deteksi Pemalsuan Citra Copy Move Menggunakan Dyadic Wavelet Dan Scale Invariant Feature Transform [PDF]
, 2017 Pada penelitian ini dibangun sebuah aplikasi yang bertujuan untuk mendeteksi pemalsuan copy-move pada citra digital. Pertama-tama, citra digital akan didekomposisi menggunakan metode dyadic wavelet transform (DyWT) dan diambil sub-citra LL, lalu ...
Andreswari, D. (Desi) +2 more
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SAR image matching based on rotation-invariant description
Scientific Reports, 2023 The utilization of scale invariant feature transform algorithm in synthetic-aperture radar images (SAR–SIFT) to match image features may lead to principal orientation assignments of descriptors being affected by speckle noise, thereby diminishing ...
Yunhao Chang +5 more
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Switched-capacitor networks for scale-space generation [PDF]
, 2011 In scale-space filtering signals are represented at several scales, each conveying different details of the original signal. Every new scale is the result of a smoothing operator on a former scale.
Brea Sánchez, Víctor Manuel +5 more
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IEEE Transactions on Image Processing, 2009 We propose the n -dimensional scale invariant feature transform ( n-SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method's performance to other related features.
Warren Cheung, G. Hamarneh
semanticscholar +1 more source