Chevron U.s.a. Inc.

University of Southern California

Michael Brandon Casey

Jing Huang

Ulrich Neumann

Suya You

Guan Pang

Christopher Lee Fisher

Amir Anvar

A method of detecting objects in three-dimensional (3D) point clouds and detecting differences between 3D point clouds and the objects therein is disclosed. A method includes receiving a first scene 3D point cloud and a second scene 3D point cloud, wherein the first scene 3D point cloud and the second scene 3D point cloud include first and second target objects, respectively; aligning the first scene 3D point cloud and the second scene 3D point cloud; detecting the first and second target objects from the first scene 3D point cloud and the second scene 3D point cloud, respectively; comparing the detected first target object with the detected second target object; and identifying, based on the comparison, one or more differences between the detected first target object and the detected second target object. Further aspects relate to detecting changes of target objects within scenes of multiple 3D point clouds.

Multi-view 3D object recognition from a point cloud and change detection

Growing community of inventors

Houston, TX, United States of America

Michael Brandon Casey