IMPROVING SIFT FOR IMAGE FEATURE EXTRACTION
Studia Universitatis Babes-Bolyai: Series Informatica, 2017 This paper reviews a classical image feature extraction algorithm, namely SIFT (i.e. Scale Invariant Feature Transform) and modifies it in order to increase its repeatability score.
Renata DEAK +2 more
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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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Analysis Manipulation Copy-Move on Image Digital using SIFT Method and Histogram Color RGB
JISA (Jurnal Informatika dan Sains), 2022 The application of the SIFT (Scale Invariant feature transform) algorithm and the RGB color histogram in Matlab can detect the suitability of objects in digital images and perform tests accurately.
Muhamad Masjun Efendi +2 more
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Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying [PDF]
, 2012 Reliable and effective matching of visual descriptors is a key step for many vision applications, e.g. image retrieval. In this paper, we propose to integrate the Hausdorff distance matching together with our pairing algorithm, in order to obtain a ...
Olszewska, Joanna Isabelle, Wilson, D.
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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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MIFT: A Moment-Based Local Feature Extraction Algorithm
Applied Sciences, 2019 We propose a local feature descriptor based on moment. Although conventional scale invariant feature transform (SIFT)-based algorithms generally use difference of Gaussian (DoG) for feature extraction, they remain sensitive to more complicated ...
Hua-Zhen Zhang +3 more
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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
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Granular Approach for Recognizing Surgically Altered Face Images Using Keypoint Descriptors and Artificial Neural Network [PDF]
, 2019 This chapter presents a new technique called entropy volume-based scale-invariant feature transform for correct face recognition post cosmetic surgery.
Dhirbasi, Haricharan A. +1 more
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MBR-SIFT: A mirror reflected invariant feature descriptor using a binary representation for image matching. [PDF]
PLoS ONE, 2017 The traditional scale invariant feature transform (SIFT) method can extract distinctive features for image matching. However, it is extremely time-consuming in SIFT matching because of the use of the Euclidean distance measure. Recently, many binary SIFT
Mingzhe Su +4 more
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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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