3D Object Detection from Point Cloud via Voting Step Diffusion

arXiv:2403.14133v1 Announce Type: new
Abstract: 3D object detection is a fundamental task in scene understanding. Numerous research efforts have been dedicated to better incorporate Hough voting into the 3D object detection pipeline. However, due to the noisy, cluttered, and partial nature of real 3D scans, existing voting-based methods often receive votes from the partial surfaces of individual objects together with severe noises, leading to sub-optimal detection performance. In this work, we focus on the distributional properties of point clouds and …

3d object 3d object detection arxiv cloud cs.cv detection diffusion object type via voting