Results 21 to 30 of about 22,942 (257)
Research of face recognition method of underground personnel
In view of problem of low recognition accuracy caused by sudden change of illumination, change of face view angle and external obstacle, a face recognition method based on SIFT feature in hidden Markov model(HMM) was proposed.
YANG Zhuo
doaj +1 more source
Large Aerial Image Tie Point Matching in Real and Difficult Survey Areas via Deep Learning Method
Image tie point matching is an essential task in real aerial photogrammetry, especially for model tie points. In current photogrammetry production, SIFT is still the main matching algorithm because of the high robustness for most aerial image tie points ...
Xiuliu Yuan +3 more
doaj +1 more source
A method of TV Logo Recognition based on SIFT [PDF]
TV logo is an important symbol of TV station. Automatic identification of TV logo can be used in television monitoring and media assets management. By analyzing the characteristics of TV logos, a new algorithm for TV logo recognition is proposed in this paper.
Shi Ping, Pan Da
openaire +1 more source
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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In this paper, a novel remote sensing image registration method based on phase congruency (PC) and spatial constraint is proposed. PC can provide intrinsic and meaningful image features, even when there are complex intensity changes or noise.
Wenping Ma +4 more
doaj +1 more source
Research of Image Authenticity Detection Method Based on Feature Matching [PDF]
In view of the problem that the tamper detection algorithm based on SIFT feature matching had, such as unclear location of tamper region and interference of SIFT mismatch on tamper region resolution, a method of image tamper location based on ...
HUA Bei, CHEN Qian, HUANG Ruwei
doaj +1 more source
3MRS: An Effective Coarse-to-Fine Matching Method for Multimodal Remote Sensing Imagery
The fusion of image data from multiple sensors is crucial for many applications. However, there are significant nonlinear intensity deformations between images from different kinds of sensors, leading to matching failure. To address this need, this paper
Zhongli Fan +6 more
doaj +1 more source
An Improved Registration Method for UAV-Based Linear Variable Filter Hyperspectral Data
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 +6 more
doaj +1 more source
Partial occlusions, large pose variations, and extreme ambient illumination conditions generally cause the performance degradation of object recognition systems.
Haitao Nie +4 more
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ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source

