Results 11 to 20 of about 1,093,298 (281)
A Method to Enhance Homogeneous Distribution of Matched Features for Image Matching
International Journal of Environment and Geoinformatics, 2020 Features are distinctive landmarks of an image. There are various feature detection and description algorithms. Many computer vision algorithms require matching of features from two images.
Baran Gulmez +5 more
doaj +1 more source
FEATURE ANALYSIS FOR MULTI-WINDOW MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Image matching is a practical way to build up the relationship between point pairs. In remote sensing and photogrammetry applications, area-based matching algorithms are usually used under control environment, such as fixing exterior orientation ...
W. C. Chang, L. C. Chen
doaj +1 more source
Learning Geometric Feature Embedding with Transformers for Image Matching
Sensors, 2022 Local feature matching is a part of many large vision tasks. Local feature matching usually consists of three parts: feature detection, description, and matching.
Xiaohu Nan, Lei Ding
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Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting [PDF]
, 2020 For person re-identification, existing deep networks often focus on representation learning. However, without transfer learning, the learned model is fixed as is, which is not adaptable for handling various unseen scenarios.
DG Lowe +6 more
core +3 more sources
AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM
Sensors, 2022 Feature point matching is a key component in visual simultaneous localization and mapping (VSLAM). Recently, the neural network has been employed in the feature point matching to improve matching performance.
Ye Liu +6 more
doaj +1 more source
BRIFT: A Binary Descriptor for Multi-Modal Image Registration [PDF]
Hangkong bingqi, 2023 Using radiation-variation insensitivity feature transform (RIFT) to calculate feature descriptors and perform feature matching on the maximum index map (MIM) is time-consuming.
Xu Kaikai, Guo Pengcheng, Wang Jingjing
doaj +1 more source
Robust Feature Matching with Spatial Smoothness Constraints
Remote Sensing, 2020 Feature matching is to detect and match corresponding feature points in stereo pairs, which is one of the key techniques in accurate camera orientations.
Xu Huang, Xue Wan, Daifeng Peng
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Horticultural Image Feature Matching Algorithm Based on Improved ORB and LK Optical Flow
Remote Sensing, 2022 To solve the low accuracy of image feature matching in horticultural robot visual navigation, an innovative and effective image feature matching algorithm was proposed combining the improved Oriented FAST and Rotated BRIEF (ORB) and Lucas–Kanade (LK ...
Qinhan Chen +6 more
doaj +1 more source
Class-Based Feature Matching Across Unrestricted Transformations [PDF]
, 2008 We develop a novel method for class-based feature matching across large changes in viewing conditions. The method is based on the property that when objects share a similar part, the similarity is preserved across viewing conditions.
Bart, Evgeniy, Ullman, Shimon
core +1 more source
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Current feature matching methods focus on point-level matching, pursuing better representation learning of individual features, but lacking further understanding of the scene. This results in significant performance degradation when handling challenging scenes such as scenes with large viewpoint and illumination changes.
Lu, Xiaoyong +3 more
openaire +2 more sources