Results 81 to 90 of about 189,815 (388)

Rapid Mosaicking of Unmanned Aerial Vehicle (UAV) Images for Crop Growth Monitoring Using the SIFT Algorithm

open access: yesRemote Sensing, 2019
To improve the efficiency and effectiveness of mosaicking unmanned aerial vehicle (UAV) images, we propose in this paper a rapid mosaicking method based on scale-invariant feature transform (SIFT) for mosaicking UAV images used for crop growth monitoring.
Jianqing Zhao   +6 more
semanticscholar   +1 more source

Development of Aluminum Scandium Alloys for Hydrogen Storage Valves

open access: yesAdvanced Engineering Materials, EarlyView.
Different aluminum alloy series and various aluminum‐scandium alloys with differing Sc and Zr levels are evaluated for use in hydrogen storage valve production. The alloys undergo hardness testing, optical microscopy, and tensile strength analysis, with hardening behavior studied under varying conditions.
Francisco García‐Moreno   +4 more
wiley   +1 more source

A novel fast target tracking method for UAV aerial image

open access: yesOpen 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

Image processing for feature detection and extraction [PDF]

open access: yesINCAS Bulletin
The present paper aims to conduct an experiment that compares different methods of detecting objects in images. Programs were developed to evaluate the efficiency of SURF, BRISK, MSER, and ORB object detection methods.
Nicolae APOSTOLESCU   +1 more
doaj   +1 more source

Vacuum‐Formed Composites Based on a Polyolefin and a High Content of Biomass‐Waste Fillers

open access: yesAdvanced Engineering Materials, EarlyView.
It is shown here that by the use of a very ductile polymer matrix, it is possible to vacuum‐form products that contain up to 25% of hard biofillers with still ductile properties. The results are promising and opens up for the use of engineered biocomposites derived from industrial side‐stream biofillers in vacuum‐formed products. A strategy to increase
Susanna K. Källbom   +6 more
wiley   +1 more source

A Comparative Study of SIFT and its Variants

open access: yesMeasurement 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   +5 more
doaj   +1 more source

Sifting Function Partition for the Goldbach Problem [PDF]

open access: yesarXiv, 2008
All sieve methods for the Goldbach problem sift out all the composite numbers; even though, strictly speaking, it is not necessary to do so and which is, in general, very difficult. Some new methods introduced in this paper show that the Goldbach problem can be solved under sifting out only some composite numbers.
arxiv  

Preparation and Thermal Modification of Disentangled Ultrahigh‐Molecular‐Weight Polyethylene Particles for Powder‐Based Additive Manufacturing

open access: yesAdvanced Engineering Materials, EarlyView.
Ultrahigh‐molecular‐weight polyethylene powders (<≈40 μm) with a bulk density of 260 g L−1 are prepared from a silica supported bisimine pyridine iron catalyst. The nascent product is disentangled and can be thermally densified without loss of its low viscosity.
Adrian Vaghar   +4 more
wiley   +1 more source

Autonomous Vehicle Safety through the SIFT Method: A Conceptual Analysis

open access: yesInformation
This study aims to provide a conceptual analysis of the dynamic transformations occurring in an autonomous vehicle (AV), placing a specific emphasis on the safety implications for pedestrians and passengers.
Muhammad Anshari   +4 more
doaj   +1 more source

Improving the matching precision of SIFT [PDF]

open access: yes2014 IEEE International Conference on Image Processing (ICIP), 2014
We evaluate and improve the matching precision of the SIFT method [1], defined as the root mean square error (RMSE) under a ground truth geometric transform. We first argue that the matching precision reflects to some extent the average relative localization precision between two images. For scale invariant feature detectors like SIFT, we show that the
Tang, Zhongwei   +2 more
openaire   +2 more sources

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