Results 31 to 40 of about 5,959,177 (289)
Point Cloud Plane Segmentation-Based Robust Image Matching for Camera Pose Estimation
Remote Sensing, 2023 The mainstream image matching method for recovering the motion of the camera is based on local feature matching, which faces the challenges of rotation, illumination, and the presence of dynamic objects.
Junqi Bao +3 more
doaj +1 more source
Unsupervised Local Feature Hashing for Image Similarity Search [PDF]
, 2016 The potential value of hashing techniques has led to it becoming one of the most active research areas in computer vision and multimedia. However, most existing hashing methods for image search and retrieval are based on global feature representations ...
Liu, Li, Shao, Ling, Yu, Mengyang
core +1 more source
Remote Sensing, 2019 Establishing the spatial relationship between 2D images captured by real cameras and 3D models of the environment (2D and 3D space) is one way to achieve the virtual−real registration for Augmented Reality (AR) in outdoor environments.
Weiquan Liu +9 more
doaj +1 more source
Matching Algorithm of 3D Point Clouds Based on Multiscale Features and Covariance Matrix Descriptors
IEEE Access, 2019 The three-dimensional (3D) point cloud is one of the most promising tools for representing and identifying 3D objects. The critical step for matching is to find the appropriate feature descriptors.
Bin Lu, Yang Wang
doaj +1 more source
Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor [PDF]
IEEE Access, 2020 Automatic detection of specific anatomical points of interest (POIs) in head magnetic resonance imaging (MRI) is a technical bottleneck in medical image registration and big data analysis for head diseases. A technique for automatically retrieving POIs in head MRI scans is explored in this study.
Sai Li 0003 +7 more
openaire +2 more sources
Edge Consistency Feature Extraction Method for Multi-Source Image Registration
Remote Sensing, 2023 Multi-source image registration has often suffered from great radiation and geometric differences. Specifically, grayscale and texture from similar landforms in different source images often show significantly different visual features, and these ...
Yang Zhou +6 more
doaj +1 more source
DNF: Feature Point Matching Pairs Filter Based on Descriptor Net [PDF]
IEEE Access, 2019 Wide-baseline image registration under out-of-plane rotation and larger viewpoint change is still challenging. Most of the commonly used matching algorithms are not invariant to affine transformation. They heavily rely on the local features of image patches and ignore global information, the mismatch is inevitable and greatly affect the accuracy of ...
Feng Ye, Lingfeng Su, Yizong Lai
openaire +2 more sources
Rotationally invariant 3D shape contexts using asymmetry patterns [PDF]
, 2013 This paper presents an approach to resolve the azimuth ambiguity of 3D Shape Contexts (3DSC) based on asymmetry patterns. We show that it is possible to provide rotational invariance to 3DSC at the expense of a marginal increase in computational load ...
Sukno, Federico M. +2 more
core +2 more sources
Feature Based Particle Filter Registration of 3D Surface Models and its Application in Robotics [PDF]
, 2013 This work is focused on global registration of surface models such as homogeneous triangle meshes and point clouds. The investigated approach utilizes feature descriptors in order to assign correspondences between the data sets and to reduce complexity ...
Michael Suppa +9 more
core +1 more source
Matching Features without Descriptors: Implicitly Matched Interest Points
CoRR, 2018 The extraction and matching of interest points is a prerequisite for many geometric computer vision problems. Traditionally, matching has been achieved by assigning descriptors to interest points and matching points that have similar descriptors. In this paper, we propose a method by which interest points are instead already implicitly matched at ...
Cieslewski, Titus +2 more
openaire +4 more sources