MPAN: Multi-Part Attention Network for Point Cloud Based 3D Shape Retrieval
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DOI: 10.1109/access.2020.3018696
Abstract: 3D shape retrieval is an important researching field due to its wide applications in computer vision and multimedia fields. With the development of deep learning technology, great progress has been made in recent years and… read more here.
Keywords: retrieval; shape retrieval; shape; point cloud ... See more keywords
Spherical Harmonic Energy Over Gaussian Sphere for Incomplete 3D Shape Retrieval
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DOI: 10.1109/access.2020.3029103
Abstract: Spherical harmonic (SH) has shown excellent advantages in terms of accuracy and efficiency in the retrieval of complete three-dimensional shapes. However, since the spherical function directly takes the shape centroid as the global reference point,… read more here.
Keywords: shape retrieval; shape; harmonic energy; gaussian sphere ... See more keywords
Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval
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DOI: 10.1109/tip.2018.2817042
Abstract: How to effectively retrieve desired 3D models with simple queries is a long-standing problem in computer vision community. The model-based approach is quite straightforward but nontrivial, since people could not always have the desired 3D… read more here.
Keywords: shape; metric learning; loss; sketch based ... See more keywords