Building Plan Reconstruction based on codebook and keyblock framework

I Gusti Agung Gede Arya Kadyanan; Nyoman Gunantara; Ida Bagus Gede Manuaba; Komang Oka Saputra

doi:10.2991/978-94-6463-413-6_5

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Building Plan Reconstruction based on codebook and keyblock framework

Authors

I Gusti Agung Gede Arya Kadyanan¹^{, *}, Nyoman Gunantara¹, Ida Bagus Gede Manuaba¹, Komang Oka Saputra¹

¹Udayana University, Jimbaran Badung, 80361, Indonesia

^*Corresponding author. Email: gungde@unud.ac.id

Corresponding Author

I Gusti Agung Gede Arya Kadyanan

Available Online 13 May 2024.

DOI: 10.2991/978-94-6463-413-6_5 How to use a DOI?
Keywords: Keyblock; Vector Quantization; Codebook; Generalized Lloyd Algorithm; Building Plan Reconstruction
Abstract: These days, one of the biggest challenges facing pattern recognition research is building plan recognition. The findings of an exploratory investigation on keyblock framework-based building plan recognition are presented in this paper. This study also aims to demonstrate the universal applicability of the keyblock framework for CBIRS. Using the keyblock features for encoding and decoding building plan images, a codebook is constructed in this research. This study uses the Generalized Lloyd Algorithm (GLA) to extract pertinent data and minimize block during codebook generation. A one-dimensional matrix representation of the encoding image is used, which is comparable to a set of keywords in a text retrieval system. To reconstruct and query the image using an example, we performed image decoding. The effectiveness of the keyblock framework on building plan reconstruction was assessed using the root-mean-square error of the rebuilt image as the performance metric.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023)
Series: Advances in Computer Science Research
Publication Date: 13 May 2024
ISBN: 10.2991/978-94-6463-413-6_5
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-413-6_5 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - I Gusti Agung Gede Arya Kadyanan
AU  - Nyoman Gunantara
AU  - Ida Bagus Gede Manuaba
AU  - Komang Oka Saputra
PY  - 2024
DA  - 2024/05/13
TI  - Building Plan Reconstruction based on codebook and keyblock framework
BT  - Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023)
PB  - Atlantis Press
SP  - 41
EP  - 50
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-413-6_5
DO  - 10.2991/978-94-6463-413-6_5
ID  - Kadyanan2024
ER  -

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