Results 51 to 60 of about 30,838 (137)
Advanced Intelligent Systems, EarlyView.This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
Automatic Foreground Extraction Based on Difference of Gaussian
The Scientific World Journal, 2014 A novel algorithm for automatic foreground extraction based on difference of Gaussian (DoG) is presented. In our algorithm, DoG is employed to find the candidate keypoints of an input image in different color layers. Then, a keypoints filter algorithm is
Yubo Yuan +4 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
JOIV: International Journal on Informatics VisualizationQuantifying motoric impulsivity in pediatric settings is crucial for safeguarding children and for devising effective intervention strategies. Existing quantitative techniques, such as accelerometry, have been utilized to assess it, but they often prove ...
Fahmy F. Dalimarta +3 more
doaj +1 more source
UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers
, 2019 This paper proposes a novel approach for Simultaneous Localization and Mapping by fusing natural and artificial landmarks. Most of the SLAM approaches use natural landmarks (such as keypoints).
Medina-Carnicer, Rafael +1 more
core +1 more source
Advanced Intelligent Systems, EarlyView.Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
IEEE Access, 2022 In previous studies, the keypoints and their feature descriptors of a hyperspectral image have not received enough attention. Compared with RGB images, the rich feature information of a hyperspectral image can not only constrain the spatial positions of ...
Tengfei Ma +6 more
doaj +1 more source
Semi-supervised Keypoint Localization
, 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.
Moskvyak, Olga +3 more
openaire +2 more sources
Annals of Neurology, EarlyView.Objective Behavior and motor manifestations are distinctive yet often overlooked features of epileptic seizures. Seizures can result in transient disruptions in motor control, often organized into specific behavioral sequences that can inform seizure types, onset zones, and outcomes.
Yuyan Shen +8 more
wiley +1 more source
Accelerated keypoint extraction
2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008 Keypoints have become a fundamental feature in image and video processing. This article presents a wavelet-inspired structure to speed up the keypoint extraction process. The method restricts the extraction process to high variation areas solely, deemed likely to provide keypoints.
Remi Trichet, Bernard Merialdo
openaire +3 more sources