Results 21 to 30 of about 4,989 (196)

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

Semi-supervised Keypoint Localization

open access: yesCoRR, 2021
Knowledge about the locations of keypoints of an object in an image can assist in fine-grained classification and identification tasks, particularly for the case of objects that exhibit large variations in poses that greatly influence their visual appearance, such as wild animals.
Olga Moskvyak   +3 more
openaire   +5 more sources

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

Joint graph convolution networks and transformer for human pose estimation in sports technique analysis

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
Human pose estimation has various applications in domains such as sports technology analysis, virtual reality, and education. However, most previous studies focused on the respective feature representations of keypoints, but disregarded the topological ...
Hongren Cheng   +5 more
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 ...
Shubham Goel 0001   +2 more
openaire   +2 more sources

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

Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
CVPR ...
Ryo Hachiuma, Fumiaki Sato, Taiki Sekii
openaire   +2 more sources

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 Transfer Segmentation [PDF]

open access: yes, 2015
We present an image segmentation method that transfers label maps of entire organs from the training images to the novel image to be segmented. The transfer is based on sparse correspondences between keypoints that represent automatically identified distinctive image locations. Our segmentation algorithm consists of three steps: (i) keypoint matching, (
Christian Wachinger   +4 more
openaire   +4 more sources

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