Computational photography and computer vision applied to cultural heritage preservation – Complete Phd and Masters Thesis

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Introduction

Computational photography and computer vision have revolutionized the way in which we capture, analyze, and preserve cultural heritage. As technology continues to advance, these fields offer unique opportunities to create digital representations of invaluable artifacts, structures, and sites. By combining traditional photography with computational techniques, researchers are able to enhance the quality of images, extract meaningful information, and even reconstruct three-dimensional models of cultural heritage objects.

Background of the Study

The preservation of cultural heritage is of great importance as it provides a glimpse into the past, helping us to understand and appreciate our history and cultural identity. However, many cultural heritage sites and artifacts are at risk of deterioration due to natural disasters, vandalism, and neglect. Computational photography and computer vision offer innovative solutions to document and preserve these cultural treasures for future generations.

Problem Statement

Despite the potential of computational photography and computer vision in cultural heritage preservation, there are still challenges that need to be addressed. These challenges include the need for more accurate imaging techniques, efficient data processing, and user-friendly tools for analysis and visualization of cultural heritage data.

Objective of Study

The main objective of this thesis is to explore the applications of computational photography and computer vision in cultural heritage preservation. Specifically, the study aims to investigate how these technologies can be used to enhance the documentation, analysis, and conservation of cultural heritage sites and artifacts.

Limitation of Study

It is important to acknowledge that this study has its limitations. Due to the vast and diverse nature of cultural heritage, this thesis will focus on a specific subset of cultural heritage objects and sites. Additionally, the study may be limited by the availability of resources and access to certain cultural heritage sites.

Scope of Study

This study will focus on the application of computational photography and computer vision in the documentation and preservation of cultural heritage sites, artifacts, and structures. The research will explore various imaging techniques, data processing methods, and visualization tools used in cultural heritage preservation.

Significance of Study

The findings of this study will contribute to the growing body of literature on computational photography and computer vision in cultural heritage preservation. The research will provide insights into the potential benefits of these technologies for documenting, analyzing, and conserving cultural heritage objects.

Structure of the Thesis

Chapter 1: Introduction
1.1 Introduction
1.2 Background of the Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
– Overview of cultural heritage preservation
– Introduction to computational photography
– Applications of computer vision in cultural heritage
– Digital imaging techniques for cultural heritage preservation
– Challenges and opportunities in cultural heritage preservation
– Case studies of computational photography in cultural heritage
– Ethical considerations in digital preservation
– Current trends and future directions in cultural heritage preservation

Chapter 3: Research Methodology
– Research design and approach
– Data collection methods
– Data analysis techniques
– Software tools and technologies used
– Sampling techniques
– Ethical considerations
– Limitations of the study
– Validity and reliability

Chapter 4: Discussion of Findings
– Analysis of data collected
– Comparison with existing literature
– Interpretation of results
– Implications for cultural heritage preservation
– Recommendations for future research

Chapter 5: Conclusion and Summary
– Summary of key findings
– Contributions to the field
– Limitations of the study
– Recommendations for future research
– Conclusion

Thesis Overview

Computational photography and computer vision technologies have opened up new possibilities for documenting and preserving cultural heritage. This thesis will explore the applications of these technologies in cultural heritage preservation, with a focus on enhancing the quality of images, extracting meaningful information, and reconstructing three-dimensional models of cultural heritage objects.

Chapter 1 will provide an introduction to the study, including the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter 2 will present a comprehensive literature review on computational photography, computer vision, and their applications in cultural heritage preservation. Chapter 3 will outline the research methodology, including the research design, data collection, analysis techniques, and software tools used.

In Chapter 4, the findings of the study will be discussed, including the analysis of data collected, comparisons with existing literature, and implications for cultural heritage preservation. Finally, Chapter 5 will conclude the thesis with a summary of key findings, contributions to the field, limitations of the study, recommendations for future research, and a conclusion on the impact of computational photography and computer vision on cultural heritage preservation.

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