Conference Proceedings

A TWO-STEP CLASSIFICATION APPROACH to DISTINGUISHING SIMILAR OBJECTS in MOBILE LIDAR POINT CLOUDS

H He, K Khoshelham, C Fraser

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences | Published : 2017

Abstract

Nowadays, lidar is widely used in cultural heritage documentation, urban modeling, and driverless car technology for its fast and accurate 3D scanning ability. However, full exploitation of the potential of point cloud data for efficient and automatic object recognition remains elusive. Recently, feature-based methods have become very popular in object recognition on account of their good performance in capturing object details. Compared with global features describing the whole shape of the object, local features recording the fractional details are more discriminative and are applicable for object classes with considerable similarity. In this paper, we propose a two-step classification app..

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