Data-Driven Shape Analysis and Processing

Data-driven methods play an increasingly important role in discovering geometric, structural, and semantic relationships between 3D shapes in collections, and applying this analysis to support intelligent modeling, editing, and visualization of geometric data. In contrast to traditional approaches, a key feature of data-driven approaches is that they aggregate information from a collection of shapes to improve the analysis and processing of individual shapes. In addition, they are able to learn models that reason about properties and relationships of shapes without relying on hard-coded rules or explicitly programmed instructions. We provide an overview of the main concepts and components of these techniques, and discuss their application to shape classification, segmentation, matching, reconstruction, modeling and exploration, as well as scene analysis and synthesis, through reviewing the literature and relating the existing works with both qualitative and numerical comparisons. We conclude our report with ideas that can inspire future research in data-driven shape analysis and processing.Comment: 10 pages, 19 figure

Documentation of the Nasif Historical House using the TLS and IS Methods

Historical Jeddah, one of the most important historical sites in Kingdom of Saudi Arabia, has had a long history since it became the main gateway for the hajjis. The city contains many historical monuments founded more than 100 years ago, such as the Nasif House, which was built in 1881. However, the historical monuments in Jeddah face serious issues of different natures, such as problems of documentation and conservation. In the last decade, several manual measurement techniques were used to document these buildings; however, these techniques take a long time, often lack completeness, and may sometimes give unreliable information. In contrast, Terrestrial laser scanning “TLS” surveys and image surveys have already been undertaken in several heritage sites in the United Kingdom and other countries of Europe as a new method of documenting heritage sites. This paper focuses on using the Terrestrial laser scanning and image survey methods to document Nasif House, as an example of historical architectural documentation

New methods for digital modeling of historic sites

We discuss new methods for building 3D models of historic sites. Our algorithm automatically computes pairwise registrations between individual scans, builds a topological graph, and places the scans in the same frame of reference

Modeling 3-dimensional image from a2-dimensional image using OpenGL

The main objective of the project is to study on the process of transferring twodimensional (2D) image into a three-dimensional (3D) object by using OpenGL. Other than that, this project also covers onthe research that involves jaggedness of a 3D image. From the research made, the outcome product will be 99% free from jaggedness. This kind of practice will maximize the performance of the product in terms of the efficiency. The project is put into practice in order to decrease the cost in producing a threedimensional image from its corresponding two-dimensional image. At present, the commonly used tools to model a three-dimensional image are quite costly and expensive. Moreover, these tools such as digitized scanner are quite bulky and immobile. The project scope of study will only be within the Computer Graphic and Computer Vision area. A single two-dimensional image does not contain depth value and this will certainly make the image lack of realism. In contrast, the depth value needs to be added in the process of modeling a three-dimensional image from a two-dimensional image. This project includes reading the depth value of a two-dimensional image. These values will be manipulated and assigned as the depth value of the three-dimensional image. Then, each point identified and connected by a triangle. The combination of the triangles will produce a smooth surface of a three-dimensional image. This process will be repeated to another image in order to optimize the smoothness of the three-dimensional image. Lastly, factors that influenced the smoothness of the created three-dimensional model will be identified

3D Multispectral Imaging for Cultural Heritage Preservation: The Case Study of a Wooden Sculpture of the Museo Egizio di Torino

Digitalization techniques, such as photogrammetry (PG), are attracting the interest of experts in the cultural heritage field, as they enable the creation of three-dimensional virtual replicas of historical artifacts with 2D digital images. Indeed, PG allows for acquiring data regarding the overall appearance of an artifact, its geometry, and its texture. Furthermore, among several image-based techniques exploited for the conservation of works of art, multispectral imaging (MSI) finds great application in the study of the materials of historical items, taking advantage of the different responses of materials when exposed to specific wavelengths. Despite their great usefulness, PG and MSI are often used as separate tools. Integrating radiometric and geometrical data can notably expand the information carried by a 3D model. Therefore, this paper presents a novel research methodology that enables the acquisition of multispectral 3D models, combining the outcomes of PG and MSI (Visible (VIS), Ultraviolet-induced Visible Luminescence (UVL), Ultraviolet-Reflected (UVR), and Ultraviolet-Reflected False Color (UVR-FC) imaging) in a single coordinate system, using an affordable tunable set-up and open-source software. The approach has been employed for the study of two wooden artifacts from the Museo Egizio di Torino to investigate the materials present on the surface and provide information that could support the design of suitable conservation treatments

Computer Vision and Graphics for Heritage Preservation and Digital Archaeology

The goal of this work is to provide attendees with a survey of topics related to Heritage Preservation and Digital Archeology, which are challenging and motivating subjects to both computer vision and graphics community. These issues have been gaining increasing attention and priority within the scientific scenario and among funding agencies and development organizations over the last years. Motivations to this work are the recent efforts in the digital preservation of cultural heritage objects and sites before degradation or damage caused by environmental factors or human development. One of the main focuses of these researches is the development of new techniques for realistic 3D model building from images, preserving as much information as possible. We intend to introduce and discuss several emerging topics in computer vision and graphics related to the proposed theme while highlighting the major contributions and advances in these fields