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Feature Based Dynamic Matching
Proceedings of the 24th ACM Conference on Economics and Computation, 2023SOAR ing to Optimality: Smarter Matching Algorithms for On-Demand Platforms In “Feature-Based Dynamic Matching,” Y. Chen, Y. Kanoria, A. Kumar, and W. Zhang study dynamic two-sided matching where both customers and service providers are characterized by high-dimensional feature vectors, motivated by platforms like on-demand home ...
Yilun Chen +3 more
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IEEE Transactions on Medical Imaging, 2023
Feature matching, which refers to establishing the correspondence of regions between two images (usually voxel features), is a crucial prerequisite of feature-based registration.
Zeyuan Chen, Yuanjie Zheng, J. Gee
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Feature matching, which refers to establishing the correspondence of regions between two images (usually voxel features), is a crucial prerequisite of feature-based registration.
Zeyuan Chen, Yuanjie Zheng, J. Gee
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Object‐aware deep feature extraction for feature matching
Concurrency and Computation: Practice and Experience, 2023SummaryFeature extraction is a fundamental step in the feature matching task. A lot of studies are devoted to feature extraction. Recent researches propose to extract features by pre‐trained neural networks, and the output is used for feature matching.
Zuoyong Li +4 more
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LNIFT: Locally Normalized Image for Rotation Invariant Multimodal Feature Matching
IEEE Transactions on Geoscience and Remote Sensing, 2022Severe nonlinear radiation distortion (NRD) is the bottleneck problem of multimodal image matching. Although many efforts have been made in the past few years, such as the radiation-variation insensitive feature transform (RIFT) and the histogram of ...
Jiayuan Li +4 more
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Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning
IEEE transactions on circuits and systems for video technology (Print), 2022In underwater scenes, degraded underwater images caused by wavelength-dependent light absorption and scattering present huge challenges to vision tasks.
Qi Qi +6 more
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Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing, 2012
Computing the dense Approximate Nearest-Neighbour Field (ANNF) between a pair of images has become a major problem which is being tackled by the image processing community in the recent years. Two important papers viz. PatchMatch [3] and CSH [11] have been developed over the past few years based on the coherency between images, but one major problem ...
S. Avinash Ramakanth, R. Venkatesh Babu
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Computing the dense Approximate Nearest-Neighbour Field (ANNF) between a pair of images has become a major problem which is being tackled by the image processing community in the recent years. Two important papers viz. PatchMatch [3] and CSH [11] have been developed over the past few years based on the coherency between images, but one major problem ...
S. Avinash Ramakanth, R. Venkatesh Babu
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2021 6th International Conference for Convergence in Technology (I2CT), 2021
SIFT method for the local description of images is introduced in this paper. After figuring out the various features of the images, this method is used to perform accurate comparison between different views of a scene or an object. The extracted characteristics are invariable to rotation of size, additional noise, change of light, cropped images ...
Shahid Eqbal +3 more
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SIFT method for the local description of images is introduced in this paper. After figuring out the various features of the images, this method is used to perform accurate comparison between different views of a scene or an object. The extracted characteristics are invariable to rotation of size, additional noise, change of light, cropped images ...
Shahid Eqbal +3 more
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Matching Images Using Linear Features
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984We describe techniques for matching two images or an image and a map. This operation is basic for machine vision and is needed for the tasks of object recognition, change detection, map up-dating, passive navigation, and other tasks. Our system uses line-based descriptions, and matching is accomplished by a relaxation operation which computes most ...
G, Medioni, R, Nevatia
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Feature Matching with Bounded Distortion
ACM Transactions on Graphics, 2014We consider the problem of finding a geometrically consistent set of point matches between two images. We assume that local descriptors have provided a set of candidate matches, which may include many outliers. We then seek the largest subset of these correspondences that can be aligned perfectly using a nonrigid deformation that exerts a bounded ...
Lipman, Yaron +4 more
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View matching with blob features
Image and Vision Computing, 2005This paper introduces a new region based feature for object recognition and image matching. In contrast to many other region based features, this one makes use of colour in the feature extraction stage. We perform experiments on the repeatability rate of the features across scale and inclination angle changes, and show that avoiding to merge regions ...
P.-E. Forssen, A. Moe
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