Results 41 to 50 of about 38,848 (118)

Environmental target image recognition of coal mine rescue robot

Gong-kuang zidonghua, 2017
In view of problems that traditional scale-invariant feature transform（SIFT） algorithm has calculation redundancy in searching key points of vision images and poor real-time performance in target recognition, an improved SIFT algorithm was proposed which
GONG Gu, ZHU Hua
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Analysis of Copy-move Manipulation in Digital Images using Scale Invariant Feature Transform (SIFT) and SVD-matching Methods

Journal of Applied Informatics and Computing
In recent years, more and more data has been created in digital form, allowing for easier control over storage and manipulation thanks to technological advancements.
Muhamad Masjun Efendi, Nukman Nukman
doaj   +1 more source

Recognition of plastic surgery faces and the surgery types: An approach with entropy based scale invariant features

Journal of King Saud University: Computer and Information Sciences, 2019
In recent years, the automatic recognition of face comprises many challenging problems which have experienced much consideration due to several applications in different fields. To solve all the situations like the pose, appearance, and lighting changes,
Archana Harsing Sable, Sanjay N. Talbar, Haricharan Amarsing Dhirbasi   +2 more
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Wide baseline stereo matching based on scale invariant feature transformation with hybrid geometric constraints

IET Computer Vision, 2014
Wide baseline stereo matching is a challenging task because of the presence of significant geometric deformations and illumination changes within the images.
Huachao Yang, Mei Yu, Shubi Zhang
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Hierarchical spatial pyramid max pooling based on SIFT features and sparse coding for image classification

IET Computer Vision, 2013
It is essential to build good image representations for many computer vision tasks. In this study, the authors propose a hierarchical spatial pyramid max pooling method based on scale‐invariant feature transform (SIFT) features and sparse coding, which ...
Hong Han, Qiqiang Han, Xiaojun Li, Jianyin Gu   +3 more
doaj   +1 more source

GEOREFERENZIAZIONE ACCURATA, VELOCE E GRATUITA

Archeomatica, 2012
La georeferenziazione di una immagine satellitare o di una fotografia aerea rispetto a un sistema di coordinate di riferimento risulta un processo spesso indispensabile per la comprensione del palinsesto archeologico.
Gianluca Cantoro
doaj  

Automatic human identification using fingerprint images based on Gabor filter and SIFT features fusion

Open Engineering
Today, advancements in science and technology have spurred the rapid evolution of systems like electronic banking, demanding precise, swift, and secure identification of individuals based on their distinct traits.
Jabar Sabat Ahily Hydr, Al Dujaili Mohammed Jawad, Abdulzahra Al Dulaimi Mohammed   +2 more
doaj   +1 more source

Multi-Modal Remote Sensing Image Registration Method Combining Scale-Invariant Feature Transform with Co-Occurrence Filter and Histogram of Oriented Gradients Features

Remote Sensing
Multi-modal remote sensing images often exhibit complex and nonlinear radiation differences which significantly hinder the performance of traditional feature-based image registration methods such as Scale-Invariant Feature Transform (SIFT).
Yi Yang, Shuo Liu, Haitao Zhang, Dacheng Li, Ling Ma   +4 more
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An Improved Registration Method for UAV-Based Linear Variable Filter Hyperspectral Data

Remote Sensing
Linear Variable Filter (LVF) hyperspectral cameras possess the advantages of high spectral resolution, compact size, and light weight, making them highly suitable for unmanned aerial vehicle (UAV) platforms. However, challenges arise in data registration
Xiao Wang, Chunyao Yu, Xiaohong Zhang, Xue Liu, Yinxing Zhang, Junyong Fang, Qing Xiao   +6 more
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Analysis of the Relationship Between Scale Invariant Feature Transform Keypoint Properties and Their Invariance to Geometrical Transformation Applied to Cone-Beam Computed Tomography Images

Bioengineering
Image registration is a crucial post-processing technique in biomedical imaging, enabling the alignment and integration of images from various sources to facilitate accurate diagnosis, treatment planning, and longitudinal studies. This paper explores the
Diletta Pennati, Leonardo Bocchi
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