Results 21 to 30 of about 13,554 (180)
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
Zooming image based false matches elimination algorithms for robot navigation
Advances in Mechanical Engineering, 2017 Feature matching is one of the most important steps in the location technology of zooming images. According to the scale-invariant feature transform matching algorithm, several improved false matches elimination algorithms are proposed and compared in ...
Hongwei Gao +4 more
doaj +1 more source
Pengenalan Barang Pada Kereta Belanja Menggunakan Metode Scale Invariant Feature Transform (SIFT)
Jurnal Teknologi Informasi dan Ilmu Komputer, 2018 Menunggu dalam suatu antrian di supermarket sering terjadi dalam kehidupan sehari-hari. Antrian tersebut terjadi karena pada kasir mengharuskan setiap barang diperiksa untuk dipindai menggunakan barcode. Hal ini dapat diatasi dengan menggunakan aplikasi
Ronny Makhfuddin Akbar, Nani Sunarmi
doaj +1 more source
Dog recognition in public places based on convolutional neural network
International Journal of Distributed Sensor Networks, 2019 With the increase in the number of dogs in the city, the dogs can be seen everywhere in public places. At the same time, more and more stray dogs appear in public places where dogs are prohibited, which has a certain impact on the city environment and ...
Jianquan Ouyang +3 more
doaj +1 more source
Scale Invariant Feature Transform on the Sphere: Theory and Applications [PDF]
International Journal of Computer Vision, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cruz-Mota, Javier +4 more
openaire +3 more sources