Results 51 to 60 of about 165,668 (247)

Software Implemented Fault-Tolerant (SIFT) user's guide [PDF]

Program development for a Software Implemented Fault Tolerant (SIFT) computer system is accomplished in the NASA LaRC AIRLAB facility using a DEC VAX-11 to interface with eight Bendix BDX 930 flight control processors.
Baltrus, D. W., Green, D. F., Jr., Palumbo, D. L.   +2 more
core   +1 more source

Fast MPEG-CDVS Encoder with GPU-CPU Hybrid Computing

, 2017
The compact descriptors for visual search (CDVS) standard from ISO/IEC moving pictures experts group (MPEG) has succeeded in enabling the interoperability for efficient and effective image retrieval by standardizing the bitstream syntax of compact ...
Chen, Jie, Duan, Lingyu, Gao, Wen, Huang, Tiejun, Kot, Alex C., See, Simon, Sun, Wei, Wang, Shiqi, Yin, Jianxiong, Zhang, Xinfeng   +9 more
core   +1 more source

A comparative study of image low level feature extraction algorithms

Egyptian Informatics Journal, 2013
Feature extraction and matching is at the base of many computer vision problems, such as object recognition or structure from motion. Current methods for assessing the performance of popular image matching algorithms are presented and rely on costly ...
M.M. El-gayar, H. Soliman, N. meky
doaj   +1 more source

A Comparative Study of Image Retrieval Algorithm in Medical Imaging

JOIV: International Journal on Informatics Visualization
In recent times, digital environments have become more complex, and the need for secure, efficient, and reliable identification systems is growing in demand. Consequently, image retrieval has emerged as a critical area focusing on artificial intelligence
Yang Muhammad Putra Abdullah, Suraya Abu Bakar, Wan Nural Jawahir Hj Wan Yussof, Raseeda Hamzah, Rahayu A Hamid, Deni Satria   +5 more
doaj   +1 more source

A Novel Approach to Face Recognition using Image Segmentation based on SPCA-KNN Method [PDF]

, 2013
In this paper we propose a novel method for face recognition using hybrid SPCA-KNN (SIFT-PCA-KNN) approach. The proposed method consists of three parts.
Benco, M., Hlubik, J., Hudec, R., Jarina, R., Kamencay, P., Zachariasova, M.   +5 more
core   +1 more source

A novel fast target tracking method for UAV aerial image

Open Physics, 2017
Unmanned aerial vehicles (UAV) are able to achieve autonomous flight without drivers, and UAV has been a key tool to extract space data. Therefore, how to detect the trajectories of targets from UAV aerial image sequences is of great importance.
Jianfang Liu, Hao Zheng, Jingli Gao
doaj   +1 more source

Analysis of Splicing Manipulation in Digital Images using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) Methods

Journal of Applied Informatics and Computing
In the digital age, image manipulation is common, often done before publication on social media. However, this can lead to negative impacts, including visual deception.
Zumratul Muhidin, Muh. Nasirudin Karim, Muhamad Masjun Efendi   +2 more
doaj   +1 more source

A Comparative Study of SIFT and its Variants

Measurement Science Review, 2013
SIFT is an image local feature description algorithm based on scale-space. Due to its strong matching ability, SIFT has many applications in different fields, such as image retrieval, image stitching, and machine vision.
Wu Jian, Cui Zhiming, Sheng Victor S., Zhao Pengpeng, Su Dongliang, Gong Shengrong   +5 more
doaj   +1 more source

Currency recognition using a smartphone: Comparison between color SIFT and gray scale SIFT algorithms

Journal of King Saud University: Computer and Information Sciences, 2017
Banknote recognition means classifying the currency (coin and paper) to the correct class. In this paper, we developed a dataset for Jordanian currency.
Iyad Abu Doush, Sahar AL-Btoush
doaj   +1 more source

A unified data flow model for fault tolerant computers [PDF]

The Dataflow Simulation System (DFSS) at USL was used as the medium on which a functional simulaton of sIFT was produced. DFSS is written in PL/I and is supported by MULTICS.
Kavi, K. M., Ramanamurthy, V. V., Rao, T. R., Youssefi, A.   +3 more
core   +1 more source