Survey of multi-view 3D object recognition using deep models
Survey of multi-view 3D object recognition using deep models
Deep Models for Multi-View 3D Object Recognition: A Review
arXiv paper abstract https://arxiv.org/abs/2404.15224
arXiv PDF paper https://arxiv.org/pdf/2404.15224.pdf
… The utilization of multi-view 3D representations for object recognition has thus far demonstrated the most promising results for achieving state-of-the-art performance.
This review paper comprehensively covers recent progress in multi-view 3D object recognition methods for 3D classification and retrieval tasks.
… focus on deep learning-based and transformer-based techniques, as they are widely utilized and have achieved state-of-the-art performance.
… provide … information about … deep learning-based and transformer-based multi-view 3D object recognition models, including … 3D datasets, camera configurations and number of views, view selection … CNN architectures, fusion strategies, and recognition performance on 3D classification and 3D retrieval tasks.
… examine various computer vision applications that use multi-view classification.
… highlight key findings and future directions for developing multi-view 3D object recognition methods to provide readers with a comprehensive understanding of the field.
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