Density-Based Clustering for 3D Object Detection in Point Clouds

no code implementations • CVPR 2020 • Syeda Mariam Ahmed, Chee Meng Chew

In this work, we introduce a novel approach for 3D object detection that is significant in two main aspects: a) cascaded modular approach that focuses the receptive field of each module on specific points in the point cloud, for improved feature learning and b) a class agnostic instance segmentation module that is initiated using unsupervised clustering.

3D Object Detection Clustering +6

Edge and Corner Detection for Unorganized 3D Point Clouds with Application to Robotic Welding

no code implementations • 27 Sep 2018 • Syeda Mariam Ahmed, Yan Zhi Tan, Chee Meng Chew, Abdullah Al Mamun, Fook Seng Wong

In this paper, we propose novel edge and corner detection algorithms for unorganized point clouds.

Edge Detection Semantic Segmentation