Results 21 to 30 of about 30,838 (137)

DIAMONDNET: SHIP DETECTION IN REMOTE SENSING IMAGES BY EXTRACTING AND CLUSTERING KEYPOINTS IN A DIAMOND [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Ship detection plays an important role in military and civil fields. Despite it has been studied for decays, ship detection in remote sensing images is still a challenging topic. In this work, we come up with a novel ship detection framework based on the
Z. Zhu   +17 more
doaj   +1 more source

Vision–Based Positioning of Electric Buses for Assisted Docking to Charging Stations

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2022
We present a novel approach to vision-based localization of electric city buses for assisted docking to a charging station. The method assumes that the charging station is a known object, and employs a monocular camera system for positioning upon ...
Nowak Tomasz   +2 more
doaj   +1 more source

A multiple secret image embedding in dynamic ROI keypoints based on hybrid Speeded Up Scale Invariant Robust Features (h-SUSIRF) algorithm

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022
This paper presents a robust and high-capacity video steganography framework using a hybrid Speeded Up Scale Invariant Robust Features (h-SUSIRF) keypoints detection algorithm.
Suganthi Kumar   +1 more
doaj   +1 more source

Robust Estimation and Optimized Transmission of 3D Feature Points for Computer Vision on Mobile Communication Network

open access: yesSensors, 2022
Due to the amount of transmitted data and the security of personal or private information in wireless communication, there are cases where the information for a multimedia service should be directly transferred from the user’s device to the cloud server ...
Jin-Kyum Kim   +5 more
doaj   +1 more source

Rethinking of learning-based 3D keypoints detection for large-scale point clouds registration

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
The main solution for large-scale point clouds registration is to first obtain a set of matched 3D keypoint pairs and then accomplish the point cloud registration task based on these matched keypoint pairs.
ShaoCong Liu   +7 more
doaj   +1 more source

Coplanar Repeats by Energy Minimization [PDF]

open access: yes, 2016
This paper proposes an automated method to detect, group and rectify arbitrarily-arranged coplanar repeated elements via energy minimization. The proposed energy functional combines several features that model how planes with coplanar repeats are ...
Chum, Ondrej   +3 more
core   +1 more source

sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints

open access: yesSensors, 2023
Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving objects.
Francisco J. Romero-Ramirez   +4 more
doaj   +1 more source

Keypoint recognition using randomized trees [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
In many 3D object-detection and pose-estimation problems, runtime performance is of critical importance. However, there usually is time to train the system, which we will show to be very useful. Assuming that several registered images of the target object are available, we developed a keypoint-based approach that is effective in this context by ...
Vincent, Lepetit, Pascal, Fua
openaire   +2 more sources

Learning-Based Pose Estimation of Non-Cooperative Spacecrafts with Uncertainty Prediction

open access: yesAerospace, 2022
Estimation of spacecraft pose is essential for many space missions, such as formation flying, rendezvous, docking, repair, and space debris removal. We propose a learning-based method with uncertainty prediction to estimate the pose of a spacecraft from ...
Kecen Li, Haopeng Zhang, Chenyu Hu
doaj   +1 more source

Shape and Viewpoint Without Keypoints [PDF]

open access: yes, 2020
We present a learning framework that learns to recover the 3D shape, pose and texture from a single image, trained on an image collection without any ground truth 3D shape, multi-view, camera viewpoints or keypoint supervision. We approach this highly under-constrained problem in a "analysis by synthesis" framework where the goal is to predict the ...
Goel, Shubham   +2 more
openaire   +2 more sources

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