Social computing for image matching. [PDF]
One of the main technological trends in the last five years is mass data analysis. This trend is due in part to the emergence of concepts such as social networks, which generate a large volume of data that can provide added value through their analysis ...
Pablo Chamoso +3 more
doaj +6 more sources
Quantum image processing (QIP) means the quantum based methods to speed up image processing algorithms. Many quantum image processing schemes claim that their efficiency are theoretically higher than their corresponding classical schemes.
Dang, Yijie, Jiang, Nan, Wang, Jian
core +2 more sources
A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features [PDF]
In the field of underwater vision, image matching between the main two sensors (sonar and optical camera) has always been a challenging problem. The independent imaging mechanism of the two determines the modalities of the image, and the local features ...
Xiaoteng Zhou +3 more
doaj +2 more sources
Image retrieval with hierarchical matching pursuit [PDF]
A novel representation of images for image retrieval is introduced in this paper, by using a new type of feature with remarkable discriminative power. Despite the multi-scale nature of objects, most existing models perform feature extraction on a fixed ...
Shasha Bu, Yujin Zhang
openalex +4 more sources
A Spatial-Frequency Domain Associated Image-Optimization Method for Illumination-Robust Image Matching [PDF]
Image matching forms an essential means of data association for computer vision, photogrammetry and remote sensing. The quality of image matching is heavily dependent on image details and naturalness.
Chun Liu +5 more
doaj +2 more sources
DEEP-IMAGE-MATCHING: A TOOLBOX FOR MULTIVIEW IMAGE MATCHING OF COMPLEX SCENARIOS [PDF]
Finding corresponding points between images is a fundamental step in photogrammetry and computer vision tasks. Traditionally, image matching has relied on hand-crafted algorithms such as SIFT or ORB. However, these algorithms face challenges when dealing
L. Morelli +7 more
doaj +4 more sources
High-resolution Remote Sensing Image Semi-global Matching Method Considering Geometric Constraints of Connection Points and Image Texture Information [PDF]
Dense matching of remote sensing images is a key step in the generation of accurate digital surface models. The semi-global matching algorithm comprehensively considers the advantages and disadvantages of local matching and global matching in terms of ...
Xingbin YANG,Jingguo LYU,Shan JIANG,Danlu ZHANG
doaj +1 more source
High-resolution Remote Sensing Image Semi-global Matching Method Considering Geometric Constraints of Connection Points and Image Texture Information [PDF]
Dense matching of remote sensing images is a key step in the generation of accurate digital surface models. The semi-global matching algorithm comprehensively considers the advantages and disadvantages of local matching and global matching in terms of ...
Jingguo LV,Xingbin YANG,Danlu ZHANG,Shan JIANG
doaj +1 more source
Image variability and face matching
This study investigates whether variability in perceived trait judgements disrupts our ability to match unfamiliar faces. In this preregistered study, 174 participants completed a face matching task where they were asked to indicate whether two ambient face images belonged to the same person or different people (17,748 total data points).
Taylor Gogan +2 more
openaire +4 more sources
Exploring the Potential of Unsupervised Image Synthesis for SAR-Optical Image Matching
We consider SAR-optical image matching problems, where correspondences are acquired from a pair of SAR and optical images. Recent methods for such a problem typically simplify the SAR-optical image matching to the SAR-SAR or optical-optical image ...
Wen-Liang Du +5 more
doaj +1 more source

