Visual Localization Based on Deep Learning - Take Southern Branch of the National Palace Museum for Example

Chia Hao Tu, Eric Hsueh Chan Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visual localization uses images to regress camera position and orientation. It has many applications in computer vision such as autonomous driving, augmented reality (AR) and virtual reality (VR), and so on. The convolutional neural network simulates biological vision and has a good image feature extraction ability, so using it in visual localization can improve regression accuracy. Although our team has built an image indoor localization model for Southern Branch of the National Palace Museum, this paper tries to use new network and loss function to achieve better positioning accuracy. In this paper, we use ResNet-50 as backbone network, and change the output layer to 3-dimensional position and 4-dimensional orientation quaternion, and use learnable weights loss function. We compare different pretrained models and normalization methods, and the best result improves the positioning accuracy by about 60%.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Proceedings
EditorsNgoc Thanh Nguyen, Bogdan Trawiński, Ngoc Thanh Nguyen, Tien Khoa Tran, Ualsher Tukayev, Tzung-Pei Hong, Edward Szczerbicki
PublisherSpringer Science and Business Media Deutschland GmbH
Pages39-50
Number of pages12
ISBN (Print)9783031217425
DOIs
Publication statusPublished - 2022
Event14th Asian Conference on Intelligent Information and Database Systems , ACIIDS 2022 - Ho Chi Minh City, Viet Nam
Duration: 2022 Nov 282022 Nov 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13757 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th Asian Conference on Intelligent Information and Database Systems , ACIIDS 2022
Country/TerritoryViet Nam
CityHo Chi Minh City
Period22-11-2822-11-30

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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