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A review of digital twin-driven machining: From digitization to intellectualization
Digital twin (DT) technology can realize the quality control of the dynamic cutting process by
establishing the high-fidelity DT model, which has gradually become a hot spot in intelligent …
establishing the high-fidelity DT model, which has gradually become a hot spot in intelligent …
Broad-to-narrow registration and identification of 3D objects in partially scanned and cluttered point clouds
The new generation 3D scanner devices have revolutionized the way information from 3D
objects is acquired, making the process of scene capturing and digitization straightforward …
objects is acquired, making the process of scene capturing and digitization straightforward …
Cooperative saliency-based pothole detection and ar rendering for increased situational awareness
Autonomous vehicles are expected to operate safely in real-life road conditions in the next
years. Nevertheless, unanticipated events such as the existence of unexpected objects in …
years. Nevertheless, unanticipated events such as the existence of unexpected objects in …
Robust and fast 3-D saliency map** for industrial modeling applications
New generation 3-D scanning technologies are expected to create a revolution at the
Industry 4.0, facilitating a large number of virtual manufacturing tools and systems. Such …
Industry 4.0, facilitating a large number of virtual manufacturing tools and systems. Such …
Deep saliency map** for 3D meshes and applications
Nowadays, three-dimensional (3D) meshes are widely used in various applications in
different areas (eg, industry, education, entertainment and safety). The 3D models are …
different areas (eg, industry, education, entertainment and safety). The 3D models are …
Mesh saliency detection using convolutional neural networks
Mesh saliency has been widely considered as the measure of visual importance of certain
parts of 3D geometries, distinguishable from their surroundings, with respect to human …
parts of 3D geometries, distinguishable from their surroundings, with respect to human …
Cooperative saliency-based obstacle detection and ar rendering for increased situational awareness
Autonomous vehicles are expected to operate safely in real-life road conditions in the next
years. Nevertheless, unanticipated events such as the existence of unexpected objects in …
years. Nevertheless, unanticipated events such as the existence of unexpected objects in …
A saliency aware CNN-based 3D model simplification and compression framework for remote inspection of heritage sites
Nowadays, the preservation and maintenance of historical objects is the main priority in the
area of the heritage culture. The new generation of 3D scanning devices and the new assets …
area of the heritage culture. The new generation of 3D scanning devices and the new assets …
Coarse-to-fine defect detection of heritage 3D models using a CNN learning approach
Protection of endangered heritage objects or buildings is highly challenging and usually
requires on-site visual inspection of experts to detect if any further intervention of a …
requires on-site visual inspection of experts to detect if any further intervention of a …
[PDF][PDF] Semantics-Augmented Quantization-Aware Training for Point Cloud Classification
Point cloud classification is a pivotal procedure in 3D computer vision, and its deployment in
practical applications is often constrained by limited computational and memory resources …
practical applications is often constrained by limited computational and memory resources …