3D Scene Object Perception Algorithm Based on Computer Vision Technology Based on Multi-View

Traditional single-viewpoint algorithms have limitations in target perception in 3D scenes, while computer vision technology based on multi-viewpoints can provide more comprehensive and accurate target perception capabilities. This study proposes a multi-view computer vision technology based object perception algorithm for 3D scenes. In this paper, image data from multiple angles is used for target positioning and shape reconstruction, and the accuracy of target position and shape is improved by combining information from different angles. Synthesize information from multiple angles to obtain more comprehensive and richer target semantic information. Through experiments and evaluations on real 3D scene datasets, the algorithm in this paper achieves remarkable research results. After experimental testing, the recall rate of the algorithm in this paper ranges from 81% to 88%. Compared with traditional single-viewpoint algorithms, multi-viewpoint-based algorithms show higher accuracy and comprehensiveness in object localization, shape reconstruction and semantic understanding.