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181
Faster R-CNN and 3D reconstruction for handling tasks implementing a Scara robot
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182
Stem and Leaf Segmentation and Phenotypic Parameter Extraction of Tomato Seedlings Based on 3D Point
Published 2025-01-01“…The results showed strong correlations, with coefficients of determination for manually measured parameters versus extracted 3D point cloud parameters being 0.920, 0.725, 0.905, and 0.917, respectively. …”
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183
MCPA: multi-scale cross perceptron attention network for 2D medical image segmentation
Published 2024-12-01“…We evaluate our proposed MCPA model on several publicly available medical image datasets from different tasks and devices, including the open large-scale dataset of CT (Synapse), MRI (ACDC), and widely used 2D medical imaging datasets captured by fundus camera (DRIVE, CHASE $$\_$$ _ DB1, HRF), and OCTA (ROSE). …”
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184
Development method of determining angle of the railway contact network support inclination
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185
The Role of In-Store Consumer Movements in Purchase Decision
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186
Improvement of crack tip position estimation in DIC images by image processing methods
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187
Grasp Area Detection for 3D Object using Enhanced Dynamic Graph Convolutional Neural Network
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188
An Autonomous Positioning Method for Drones in GNSS Denial Scenarios Driven by Real-Scene 3D Models
Published 2025-01-01“…Subsequently, real-time image capture is performed using the monocular camera mounted on the drone, followed by a preliminary position estimation conducted through image matching algorithms and subsequent 3D point cloud reconstruction utilizing the acquired images. …”
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189
Compressive Loads on the Lumbar Spine During Lifting: 4D WATBAK versus Inverse Dynamics Calculations
Published 2005-01-01“…A single perpendicularly placed video camera was used to film each performance in the sagittal plane. …”
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190
A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS
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191
A Unified Shape-From-Shading Approach for 3D Surface Reconstruction Using Fast Eikonal Solvers
Published 2020-01-01“…The first component is designed to address different reflectance properties including diffuse, specular, and hybrid reflections in the imaging process of the camera. The second component is meant to derive the PDII equation under an orthographic camera projection and a single distant point light source whose direction is the same as the camera. …”
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192
Evaluation of 3D Models of Archaeological Remains of Almenara Castle Using Two UAVs with Different Navigation Systems
Published 2025-01-01“…The accuracies obtained with the RTK and the P1 camera are very high. The volumes calculated for a future archaeological excavation are precise, and the 3D models obtained by these means are excellent for the preservation of the cultural asset. …”
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193
Quasi-static test data set of honeycomb hybrid tubes by FDM 3D printingMendeley Data
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194
Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles
Published 2024-12-01“…Key contributions include introducing a multi-task loss function that optimizes 2D and 3D predictions and integrating sensor fusion techniques that combine RGB camera data with LIDAR point clouds for improved depth estimation. …”
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Penerapan Animasi 3D pada Media Pembelajaran Mengenal Huruf Vocal untuk Anak 2-4 Tahun
Published 2020-12-01“…Tahap pra produksi, (a) penentuan ide dan cerita; (b) desain karakter; (c) storyboard; (d) perekaman suara. Tahap produksi, (a) modeling; (b) texturing; (c) rigging; (d) animating; (e) lighting; (f) camera operation; (g) rendering. …”
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197
Improvement of rock surface roughness accuracy by combining object space resolution error and 3D point cloud features
Published 2025-01-01“…To enhance the accuracy of joint roughness coefficient (JRC) estimation in photogrammetry, this study employed a fixed-camera shooting strategy guided by a Structure-from-Motion-based shooting parameter selection algorithm to reconstruct 3D models of rock samples at 16 different shooting distances. …”
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198
3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning
Published 2025-01-01“…Our method is evaluated using the KITTI MOT dataset, demonstrating improved higher-order tracking Accuracy (HOTA) and reduced ID-switching compared to existing 3D LiDAR and camera-LiDAR fusion methods. These findings underscore the effectiveness of our approach across diverse road environments.…”
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199
Operational Deflection Shape Extraction from Broadband Events of an Aircraft Component Using 3D-DIC in Magnified Images
Published 2019-01-01“…However, the interpretation is just qualitative and should be avoided if out-plane motion is recorded as only one camera is employed. To overcome this issue, 3D digital image correlation (3D-DIC) has been linked with PMM to provide measurements from stereoscopic sets of images, providing full-field displacement maps to magnified images. …”
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