Deep Models for Multi-View 3D Object Recognition: A Review

arXiv:2404.15224v1 Announce Type: cross
Abstract: Human decision-making often relies on visual information from multiple perspectives or views. In contrast, machine learning-based object recognition utilizes information from a single image of the object. However, the information conveyed by a single image may not be sufficient for accurate decision-making, particularly in complex recognition problems. 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 …

3d object abstract arxiv contrast cs.ai cs.cv cs.lg decision however human image information machine machine learning making multiple object perspectives recognition review the information type view visual