Results 61 to 70 of about 3,367,886 (347)
Guided Local Feature Matching with Transformer
GLFNet is proposed to be utilized for the detection and matching of local features among remote-sensing images, with existing sparse feature points being leveraged as guided points.
Siliang Du +4 more
doaj +1 more source
Efficient storage and decoding of SURF feature points [PDF]
Practical use of SURF feature points in large-scale indexing and retrieval engines requires an efficient means for storing and decoding these features.
McGuinness, Kevin +9 more
core +1 more source
Research on Adaptive ORB-SURF Image Matching Algorithm Based on Fusion of Edge Features
The traditional speeded-up robust features (SURF) algorithm has certain stability in scale, rotation, illumination and other changes. However, this algorithm has problems such as large amount of computation, low matching accuracy, and time-consuming in ...
Leng Han +4 more
doaj +1 more source
YOLOv3-Based Matching Approach for Roof Region Detection from Drone Images
Due to the large data volume, the UAV image stitching and matching suffers from high computational cost. The traditional feature extraction algorithms—such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Oriented FAST ...
Chia-Cheng Yeh +7 more
doaj +1 more source
Visual-Tactile Cross-Modal Data Generation Using Residue-Fusion GAN With Feature-Matching and Perceptual Losses [PDF]
Existing psychophysical studies have revealed that the cross-modal visual-tactile perception is common for humans performing daily activities. However, it is still challenging to build the algorithmic mapping from one modality space to another, namely ...
Shaoyu Cai +3 more
semanticscholar +1 more source
An Image Classification Method Based on High-order Feature Representation [PDF]
The traditional high order feature representation methods are based on feature matching,which can cause combination explosion problem.In this case,this paper proposes a novel high-order feature representation method without feature matching.The image is ...
ZHOU Yishu1,LIANG Peng2,ZHANG Haitao1, ZHOU Jianxiong1,LIU Qi1
doaj +1 more source
Compressed matching for feature vectors
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shmuel T. Klein, Dana Shapira
openaire +1 more source
Feature Matching with Improved SIRB using RANSAC
In this paper we suggest to improve the SIRB SIFT Scale-Invariant Feature Transform and ORB Oriented FAST and Rotated BRIEF algorithm by incorporating RANSAC to enhance the matching performance We use multi-scale space to extract the features ...
Meet Palod +4 more
core
The SURF (Speed Up Robust Features) feature extraction algorithm and FLANN (Fast Library or Approximate Nearest Neighbors) feature matching algorithm in current video stitching technology have the problems of feature point extraction errors and low ...
Qinghua MAO +3 more
doaj +1 more source
RESEARCH PROGRESS ON FEATURE MATCHING OF SAR AND OPTICAL IMAGES [PDF]
Before obtaining information and identifying ground target from images, image matching is necessary. However, problems of strong pixel noise interference and nonlinear gray scale differences in synthetic aperture radar image still exist. Feature matching
H. Qian, J. W. Yue, M. Chen
doaj +1 more source

