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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