Results 261 to 270 of about 22,214 (311)

Performance Analysis of Keypoints Detection and Description Algorithms for Stereo Vision Based Odometry. [PDF]

Sensors (Basel)
Budzan S, Wyżgolik R, Lysko M.
europepmc   +1 more source

Alignment of histological and polarimetric large-scale imaging for brain tissue characterization. [PDF]

J Biomed Opt
Gros É, Rodríguez-Núñez O, Moriconi S, McKinley R, Hewer E, Lucas T, Vassella E, Schucht P, Novikova T, Hahne C, Maragkou T.   +10 more
europepmc   +1 more source

Fast Registration Algorithm for Laser Point Cloud Based on 3D-SIFT Features. [PDF]

Sensors (Basel)
Yang L, Xu S, Yang Z, He J, Gong L, Wang W, Li Y, Wang L, Chen Z.   +8 more
europepmc   +1 more source

Advancing non-human primate welfare: An automated facial recognition system for unrestrained cynomolgus monkeys. [PDF]

PLoS One
Numata Y, Sumali B, Hayashida K, Tsusaki H, Mitsukura Y.   +4 more
europepmc   +1 more source

FUSI CITRA DENGAN SCALE INVARIANT FEATURE TRANSFORM (SIFT) SEBAGAI REGISTRASI CITRA

Jurnal Ilmiah Informatika Komputer, 2020
Fusi citra adalah proses menggabungkan dua atau lebih citra ke dalam satu citra, dengan mempertahankan fitur penting dari masing-masing gambar. Fusi citra adalah salah satu cara untuk menyelesaikan masalah gambar yang tidak fokus hasil dari penggunaan kamera non-profesional.
Irma Wulandari
openaire   +2 more sources

Distinctive Feature Extraction for Indian Sign Language (ISL) Gesture using Scale Invariant Feature Transform (SIFT)

Journal of The Institution of Engineers (India): Series B, 2016
India, having less awareness towards the deaf and dumb peoples leads to increase the communication gap between deaf and hard hearing community. Sign language is commonly developed for deaf and hard hearing peoples to convey their message by generating the different sign pattern.
Sandeep Baburao Patil, G. R. Sinha
openaire   +2 more sources

FLD-SIFT: Class Based Scale Invariant Feature Transform for Accurate Classification of Faces

, 2011
In this paper, a new model called FLD-SIFT is devised for compact representation and accurate recognition of faces. Unlike scale invariant feature transform model that uses smoothed weighted histogram and massive dimension of feature vectors, in the proposed model, an image patch centered around the keypoint has been considered and linear discriminant ...
B. H. Shekar, M. Sharmila Kumari, Leonid M. Mestetskiy, Natalia Dyshkant   +3 more
openaire   +2 more sources

Matching Images On The Face Of A Buddha Statue Using The Scale Invariant Feature Transform (SIFT) Method

2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2020
The condition of the statue in Indonesia at this time many are missing, especially the face of the statue. 504 Buddha statues in the Borobudur temple, there are 248 statues which are now in a headless condition. The condition of the lost statue face is due to being stolen, still buried in the area around the temple, or has changed hands to another ...
Linda Marlinda, Supriadi Rustad, Ruri Suko Basuki, Fikri Budiman, Muhamad Fatchan   +4 more
openaire   +2 more sources

Plant species identification by using Scale Invariant Feature Transform (SIFT) and Grid Based Colour Moment (GBCM)

2013 IEEE Conference on Open Systems (ICOS), 2013
Plant identification using plant leaves is a very challenging task. The most important and crucial phase in plant identification is the phase of feature extraction. This paper presents a method of shape feature extraction that is Scale Invariant Feature Transform (SIFT) and colour feature extraction Grid Based Colour Moment (GBCM) to identify plant ...
Nuril Aslina Che Hussin, Nursuriati Jamil, Sharifalillah Nordin, Khalil Awang   +3 more
openaire   +2 more sources

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A parallel hardware architecture for Scale Invariant Feature Transform (SIFT)

2014 International Conference on Multimedia Computing and Systems (ICMCS), 2014
Scale Invariant Feature Transform (SIFT) is an efficient algorithm for extracting distinctive features from images. It is used in many computer vision applications such as object recognition, motion estimation, robot mapping and navigation. Although it has an outstanding performance, its implementation requires extensive computations, and it is very ...
Murad Qasaimeh, Assim Sagahyroon, Tamer Shanableh   +2 more
openaire   +1 more source