Results 21 to 30 of about 3,617 (191)
YOLOPoint: Joint Keypoint and Object Detection
, 2023 Intelligent vehicles of the future must be capable of understanding and navigating safely through their surroundings. Camera-based vehicle systems can use keypoints as well as objects as low- and high-level landmarks for GNSS-independent SLAM and visual odometry. To this end we propose YOLOPoint, a convolutional neural network model that simultaneously
Anton Backhaus +2 more
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IET Image Processing, 2021 With increasing demand for scale‐invariant and fast object recognition, speeded up robust features (SURF) have emerged and become a widely used feature extraction algorithm in computer vision. Nevertheless, SURF still requires high memory usage and heavy
Eunhee Cho, Yoonjin Kim
doaj +1 more source
A New Scheme for Keypoint Detection and Description [PDF]
Mathematical Problems in Engineering, 2015 The keypoint detection and its description are two critical aspects of local keypoints matching which is vital in some computer vision and pattern recognition applications. This paper presents a new scale-invariant and rotation-invariant detector and descriptor, coined, respectively, DDoG and FBRK.
Yang, Lian, Lu, Zhangping
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Keypoint Detection and Description through Deep Learning in Unstructured Environments
Robotics, 2023 Feature extraction plays a crucial role in computer vision and autonomous navigation, offering valuable information for real-time localization and scene understanding.
Georgios Petrakis +1 more
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CenterNet: Keypoint Triplets for Object Detection [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 In object detection, keypoint-based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regions. This paper presents an efficient solution which explores the visual patterns within each cropped region with minimal costs.
Kaiwen Duan +5 more
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Cofopose: Conditional 2D Pose Estimation with Transformers
Sensors, 2022 Human pose estimation has long been a fundamental problem in computer vision and artificial intelligence. Prominent among the 2D human pose estimation (HPE) methods are the regression-based approaches, which have been proven to achieve excellent results.
Evans Aidoo +7 more
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Fast keypoint detection in video sequences [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 A number of computer vision tasks exploit a succinct representation of the visual content in the form of sets of local features. Given an input image, feature extraction algorithms identify a set of keypoints and assign to each of them a description vector, based on the characteristics of the visual content surrounding the interest point. Several tasks
BAROFFIO, LUCA +4 more
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A SELF-SUPERVISED KEYPOINT DETECTION NETWORK FOR MULTIMODAL REMOTE SENSING IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Currently, multimodal remote sensing images have complex geometric and radiometric distortions, which are beyond the reach of classical hand-crafted feature-based matching.
L. Li, L. Han, H. Cao, M. Liu
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SMDAF: A novel keypoint based method for copy‐move forgery detection
IET Image Processing, 2022 Copy–move forgery poses a significant threat to social life and has aroused much attention in recent years. Although many copy‐move forgery detection (CMFD) methods have been proposed, the most existing CMFD methods are short of adaptability in detecting
Guangyu Yue +5 more
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FAst Detection Algorithm for 3D Keypoints (FADA-3K)
IEEE Access, 2020 3D keypoint is widely used for object recognition and pose estimation with a 3D point cloud since it has robustness against measurement noise and occlusion.
Shogo Arai +2 more
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