Results 351 to 360 of about 189,815 (388)

VF-SIFT: Very Fast SIFT Feature Matching

2010
Feature-based image matching is one of the most fundamental issues in computer vision tasks. As the number of features increases, the matching process rapidly becomes a bottleneck. This paper presents a novel method to speed up SIFT feature matching. The main idea is to extend SIFT feature by a few pairwise independent angles, which are invariant to ...
Axel Gräser, Faraj Alhwarin, Danijela Ristić-Durrant   +2 more
openaire   +2 more sources

Sifting and Certifying Knowledge [PDF]

The Review of Higher Education, 1990
After four and a half years as editor, the Review’s editor reports on the number and quality of manuscripts submitted, the results of a reader’s survey, dilemmas of publication, and signs of the Review’s maturity.
openaire   +1 more source

B-SIFT: A Simple and Effective SIFT for Real-Time Application

2016
SIFT is the one of the most famous algorithm in image matching for its robustness of scale changes, rotation changes, view changes and light changes. However, it is too complex to compute and match. This paper introduces a binary descriptor which can be computed using a simple intensity difference of relatively few bits, and proposes an efficient and ...
Hengzhu Liu, Yafei Liu, Yiliu Feng
openaire   +2 more sources

ORB: An efficient alternative to SIFT or SURF

Vision, 2011
Ethan Rublee, V. Rabaud, K. Konolige, Gary R. Bradski   +3 more
semanticscholar   +1 more source

Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm

Nature Protocols, 2009
Prateek Kumar, S. Henikoff, P. Ng
semanticscholar   +1 more source

The proof of SIFT

ACM SIGSOFT Software Engineering Notes, 1982
Richard L. Schwartz, P. M. Melliar-Smith
openaire   +2 more sources

2D-human face recognition using SIFT and SURF descriptors of face’s feature regions

The Visual Computer, 2020
Surbhi Gupta, Kutub Thakur, Munish Kumar
semanticscholar   +1 more source

SIFT missense predictions for genomes

Nature Protocols, 2015
Robert Vaser, Swarnaseetha Adusumalli, Sim Ngak Leng, M. Šikić, P. Ng   +4 more
semanticscholar   +1 more source

A comparative analysis of SIFT, SURF, KAZE, AKAZE, ORB, and BRISK

2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), 2018
Shaharyar Ahmed Khan Tareen, Zahra Saleem   +1 more
semanticscholar   +1 more source

Image matching based on the adaptive redundant keypoint elimination method in the SIFT algorithm

Pattern Analysis and Applications, 2020
Zahra Hossein-Nejad, H. Agahi, A. Mahmoodzadeh   +2 more
semanticscholar   +1 more source