Optimization-Based Monocular 3D Object Tracking via Combined Ellipsoid-Cuboid Representation
Monocular 3D object tracking is a challenging task because monocular image lacks depth information necessary for 3D scene understanding. Modern methods typically rely on deep learning to reconstruct 3D information from learned prior, which demands ...
Gyeong Chan Kim +2 more
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No single, stable 3D representation can explain pointing biases in a spatial updating task. [PDF]
Vuong J, Fitzgibbon AW, Glennerster A.
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Watermarking for 3d representations
In this thesis, a number of novel watermarking techniques for different 3D representationsare presented. A novel watermarking method is proposed for the mono-view video, whichmight be interpreted as the basic implicit representation of 3D scenes. The proposed methodsolves the common flickering problem in the existing video watermarking schemes by ...
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A unified representation for interactive 3D modeling [PDF]
Dragan Tubic +3 more
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Proposal of a domain model for 3D representation of buildings in Ecuador. [PDF]
Velastegui Cáceres LA +4 more
europepmc +1 more source
Comparison of 2D and 3D Representations of Explosion Hazardous Areas
The representation of potentially explosive areas depends on the flammable and explosive properties of the substances used, such as gases/vapors or dust, and the conditions under which they are present in the technology. The ATEX (ATmosphères EXplosibles)
Levene Tugyi +2 more
doaj
Improving the 3D representation of plant architecture and parameterization efficiency of functional-structural tree models using terrestrial LiDAR data. [PDF]
Bekkers V, Evers J, Lau A.
europepmc +1 more source
Dual-Scale Hybrid Concept Bottleneck Network for Explainable 3D Lung Nodule Malignancy Classification in CT Imaging. [PDF]
Ali A +3 more
europepmc +1 more source
Comparative Analysis of Automated Cloud-Based Mapping and Manual 3D Modeling for AR-Based Indoor Navigation. [PDF]
Fajrianti ED +5 more
europepmc +1 more source
Integrating Molecular Semantics and Three-Dimensional Geometry for Critical Property Prediction: A Multimodal GNN-BERT Framework. [PDF]
Wang B, Lv Z, Ning N, Zhang Y, Zhang J.
europepmc +1 more source

