Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

From Iconometry Heritage to Vision System: A Systematic Review of Vision-Based Image Processing Approaches for Traditional Śilpa Śāstra

Authors
D. Jeevan Kumar1, *, R. Vasanth Kumar Mehta2, Ravindra Thamma3
1Research Scholar, Dept. of CSE, SCSVMV University, Kanchipuram, India
2Professor, Dept of CSE, SCSVMV University, Kanchipuram, India
3Professor, School of Engineering Science and Technology, Central Connecticut State University, Britain, USA
*Corresponding author. Email: jeevankumar@kanchiuniv.ac.in
Corresponding Author
D. Jeevan Kumar
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_114How to use a DOI?
Keywords
Indian Knowledge Systems (IKS); Tālamāna System; 2D and 3D Sculpture Inspection; Machine Vision Illumination; 3D Reconstruction; Digital Archiving
Abstract

Machine Vision Systems (MVS) are new and are being recognised as potent instruments of the present-day industrial automation, in which the vision-camera serves as the digital eye, and the sophisticated ML and DL algorithms serve as the thinkable brain, and all of them come as a team to automatically identify, quantify and categorize visual characteristics in images, without the requirement of the human eye manual inspection. Iconometry (Tālamāna Śilpa Śāstra) is the ancient geometry system that regulates the proportional canon of the classical Indian sacred sculpture, which is a part of the larger system of temple construction (Devālayā Nirmāṇam). The literature review based on PRISMA-directed methodology is a review of the publications, geographical contributions, methodological distributions, and technological adoption, in reference to Śilpa Śāstra. The intersection of traditional Iconometry and vision systems opens a huge field of academic investigation and technical perspectives. The review study reports the absence of 2D and 3D datasets of classical sculptures (Śilpa Śāstra) that are curated. The review comprehension is therefore a major suggestion of a dissertation project to plan and execute an automated industrial-grade computational structure to the details of the canonical rule-based or geometry-based proportional examination of Tālamāna sculptural and pictorial heritage. The principles of implementation of the design are borrowed and conceptualised out of the ancient Indian book chapter on Iconometry (Cirpa Cenul). The overview of the study provides a very robust basis for the culturally based, interpretable, and scalable digital methods for the preservation and analysis of Indian sacred sculpture.

Copyright
© 2026 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 International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_114How to use a DOI?
Copyright
© 2026 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.

Cite this article

TY  - CONF
AU  - D. Jeevan Kumar
AU  - R. Vasanth Kumar Mehta
AU  - Ravindra Thamma
PY  - 2026
DA  - 2026/06/16
TI  - From Iconometry Heritage to Vision System: A Systematic Review of Vision-Based Image Processing Approaches for Traditional Śilpa Śāstra
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 1185
EP  - 1203
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_114
DO  - 10.2991/978-94-6239-693-7_114
ID  - Kumar2026
ER  -