Results 21 to 30 of about 178,695 (309)
More effective image matching with scale invariant feature transform [PDF]
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007 Feature matching is based on finding reliable corresponding points in the images. This requires to solve a twofold problem: detecting repeatable feature points and describing them as distinctive as possible. SIFT (Scale Invariant Feature Transform) has been proven to be the most reliable solution to this problem.
ANCUTI, Cosmin, BEKAERT, Philippe
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EURASIP Journal on Image and Video Processing, 2008 Scale-invariant feature transform (SIFT) transforms a grayscale image into scale-invariant coordinates of local features that are invariant to image scale, rotation, and changing viewpoints.
Hong Yi +3 more
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FPGA-Based Hardware Design for Scale-Invariant Feature Transform
IEEE Access, 2018 This paper proposes a novel hardware design method of scale-invariant feature transform (SIFT) algorithm for implementation on field-programmable gate array (FPGA).
Shih-An Li +4 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
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Robust image hashing using SIFT feature points and DWT approximation coefficients
ICT Express, 2018 This study proposes a robust hashing method using scale-invariant feature transform (SIFT) features points and discrete wavelet transform (DWT) approximation coefficients for image authentication.
Lokanadham Naidu Vadlamudi +2 more
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Sasirangan Motifs Classification using Scale- Invariant Feature Transform (SIFT) and Support Vector Machine (SVM) [PDF]
MATEC Web of Conferences, 2019 Sasirangan is one of the traditional cloth from Indonesia. Specifically, it comes from South Borneo. It has many variations of motifs with a different meaning for each pattern.
Alkaff Muhammad +3 more
doaj +1 more source
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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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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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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Human – Ear Recognition Using Scale Invariant Feature Transform
Artificial Intelligence & Robotics Development Journal, 2021 Biometrics techniques are the standard of a wide group of many applications for a human’s identification and verification issues. Because of this reason, a high scale of security needs to search for a new way to identify the person arises. In this paper, establish a human ear recognition system is proposed.
Abbas Hassin, Dheyaa Abbood
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