Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

An overview of some techniques for the detection and recognition of objects in 3D data

Not Accessible

Your library or personal account may give you access

Abstract

We discuss the application of classical and new techniques based on convolutional neural nets (CNNs) for automatic target recognition (ATR) using 3D data such as those produced by LADAR sensors.

© 2019 The Author(s)

PDF Article
More Like This
Modified Spin-image Target Recognition Algorithm Applied to Laser Radar Range Imagery

Li Wang, Jianfeng Sun, and Qi Wang
ME2_3 Conference on Lasers and Electro-Optics/Pacific Rim (CLEOPR) 2009

Overview of three dimensional (3D) integral imaging (InIm) based human gesture recognition under degraded environments

Bahram Javidi, Gokul Krishnan, Xin Shen, Jose M. Sotoca, Filiberto Pla, and Pedro Latorre-Carmona
DF2A.3 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2020

Photon counting three-dimensional passive sensing and object recognition

Seokwon Yeom, Edward Watson, and Bahram Javidi
CTuA3 Computational Optical Sensing and Imaging (COSI) 2007

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved