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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Improving the matching precision of SIFT [PDF]
, 2014 International audienceMatching precision of scale-invariant feature transform (SIFT) is evaluated and improved in this paper. The aim of the paper is not to invent a new feature detector more invariant than the others.
Monasse, Pascal +2 more
core +3 more sources
Face Recognition based on Convolution Neural Network and Scale Invariant Feature Transform
, 2021 Recently, Face Recognition (FR) has been received wide attention from both the research community and the cyber security industrial companies. Low accuracy of recognition is considered a main challenge when it comes to talking about employing the ...
J. Alamri, Rafika Harrabi, S. Chaabane
semanticscholar +1 more source
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
doaj +1 more source
HSI-MSER: Hyperspectral Image Registration Algorithm Based on MSER and SIFT
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Image alignment is an essential task in many applications of hyperspectral remote sensing images. Before any processing, the images must be registered.
Alvaro Ordonez +3 more
doaj +1 more source
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
doaj +1 more source
Improved SIFT algorithm for place categorization [PDF]
, 2015 The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed.
Ahmad, Siti Anom +3 more
core +1 more source
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.
core +1 more source
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
doaj +1 more source
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
doaj +1 more source