Results 1 to 10 of about 30,838 (137)
Sensors, 2022 Automatic feature extraction from images of speech articulators is currently achieved by detecting edges. Here, we investigate the use of pose estimation deep neural nets with transfer learning to perform markerless estimation of speech articulator ...
Alan Wrench, Jonathan Balch-Tomes
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Pose Estimation and Behavior Classification of Jinling White Duck Based on Improved HRNet
Animals, 2023 In breeding ducks, obtaining the pose information is vital for perceiving their physiological health, ensuring welfare in breeding, and monitoring environmental comfort.
Shida Zhao +4 more
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Monocular 3D Object Detection Based on Uncertainty Prediction of Keypoints
Machines, 2021 Three-dimensional (3D) object detection is an important task in the field of machine vision, in which the detection of 3D objects using monocular vision is even more challenging.
Mu Chen, Huaici Zhao, Pengfei Liu
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Pedestrian Detection with Multi-View Convolution Fusion Algorithm
Entropy, 2022 In recent years, the pedestrian detection technology of a single 2D image has been dramatically improved. When the scene becomes very crowded, the detection performance will deteriorate seriously and cannot meet the requirements of autonomous driving ...
Yuhong Liu +3 more
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Triangular Regions Representations for Matching Images With Viewpoint Changes
IEEE Access, 2022 This paper proposes triangular region representations based on keypoints detected in images with viewpoint changes. The strongest keypoints in the reference and query images are allocated individually using a previously published contourlet-based ...
Ibrahim El Rube', Sameer Alsharif
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Viewpoints and keypoints [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 We characterize the problem of pose estimation for rigid objects in terms of determining viewpoint to explain coarse pose and keypoint prediction to capture the finer details. We address both these tasks in two different settings - the constrained setting with known bounding boxes and the more challenging detection setting where the aim is to ...
Tulsiani, Shubham, Malik, Jitendra
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A Very Fast Copy-Move Forgery Detection Method for 4K Ultra HD Images
Frontiers in Signal Processing, 2022 Copy-move forgery detection is a challenging task in digital image forensics. Keypoint-based detection methods have proven to be very efficient to detect copied-moved forged areas in images.
Laura Bertojo +2 more
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SiLK: Simple Learned Keypoints
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Keypoint detection & descriptors are foundational tech-nologies for computer vision tasks like image matching, 3D reconstruction and visual odometry. Hand-engineered methods like Harris corners, SIFT, and HOG descriptors have been used for decades; more recently, there has been a trend to introduce learning in an attempt to improve keypoint ...
Gleize, Pierre +2 more
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2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted to ICCV ...
Zauss, Duncan +2 more
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Application of OpenPose and deep learning for intelligent surveillance reconnaissance system
선진국방연구, 2020 In this study, defense surveillance reconnaissance systems were implemented through deep learning networks such as OpenPose and deep neural networks (DNN), convolutional neural networks (CNN), and long short-term memory (LSTM).
Kyujung Choi, Suyeong Oh, Chaebong Sohn
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