https://pure.aber.ac.uk/portal/files/4916016/Westoby_et_al._GEOMORPH_2012_Accepted.pdf

‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications

We describe a hardware and software system for digitizing the shape and color of large fragile objects under non-laboratory conditions Our system employs laser triangulation rangefinders, laser time-of-flight rangefinders, digital still cameras, and a suite of software for acquiring, aligning, merging, and viewing scanned data As a demonstration of this system, we digitized 10 statues by Michelangelo, including the well-known figure of David, two building interiors, and all 1,163 extant fragments of the Forma Urbis Romae, a giant marble map of ancient Rome Our largest single dataset is of the David - 2 billion polygons and 7,000 color images In this paper, we discuss the challenges we faced in building this system, the solutions we employed, and the lessons we learned We focus in particular on the unusual design of our laser triangulation scanner and on the algorithms and software we developed for handling very large scanned models

/pdf/the-digital-michelangelo-project-3d-scanning-of-large-36ear7sqje.pdf

The digital Michelangelo project: 3D scanning of large statues

This article provides a comprehensive introduction into the field of robotic mapping, with a focus on indoor mapping. It describes and compares various probabilistic techniques, as they are presently being applied to a vast array of mobile robot mapping problems. The history of robotic mapping is also detailed, along with an extensive list of open research problems.

/pdf/robotic-mapping-a-survey-4m18o2pjhn.pdf

Robotic mapping: a survey

https://publikationen.bibliothek.kit.edu/1000039918/3024499

Building Information Modeling (BIM) for existing buildings — Literature review and future needs

An image guided catheter navigation system for navigating a region of a patient includes an imaging device, a tracking device, a controller, and a display. The imaging device generates images of the region of the patient. The tracking device tracks the location of the catheter in the region of the patient. The controller superimposes an icon representing the catheter onto the images generated from the imaging device based upon the location of the catheter. The display displays the image of the region with the catheter superimposed onto the image at the current location of the catheter.

Navigation system for cardiac therapies

In this paper the main problems and the available solutions are addressed for the generation of 3D models from terrestrial images. Close range photogrammetry has dealt for many years with manual or automatic image measurements for precise 3D modelling. Nowadays 3D scanners are also becoming a standard source for input data in many application areas, but image-based modelling still remains the most complete, economical, portable, flexible and widely used approach. In this paper the full pipeline is presented for 3D modelling from terrestrial image data, considering the different approaches and analysing all the steps involved.

/pdf/image-based-3d-modelling-a-review-5msqumyd5o.pdf

Image-based 3d modelling: a review

The present invention is a remote sensing system for real time monitoring of patient position which can report variations in patient setup from day to day as well as motion during individual treatments In particular, an embodiment of the present invention includes: (a) a source of radiation for applying radiation to a patient; (b) targets affixed to the patient for reflecting radiation impinging thereon; (c) two cameras and a computer for detecting the reflected radiation and for determining the current position of the targets in three-dimensional space; (d) a data store for storing the position of the targets; (e) the computer also serving to compare the current position of the targets with positions stored in the data store; and (f) a display for displaying indicators whenever differences between the current position and the stored position exceed tolerances stored in the data store

Patient positioning and monitoring system

A mobile mapping system is designed to generate a geometrically precise three-dimensional detailed model of an unknown indoor environment. There is no limit on the distance the mobile system may travel, nor on the type of details that can be mapped. The same design is used for environments ranging from simple office hallways to long winding underground mine tunnels. Surfaces and features can be mapped from images acquired by a unique configuration of different types of optical imaging sensors and positioning devices. This configuration ensures that all the information required to reconstruct the three-dimensional environment is included in the collected images. Provided a sufficient overlap between two-dimensional intensity images and combining such with three-dimensional range images, the method reconstructs an environment by adjusting a plurality of images simultaneously.

Mobile system for indoor 3-d mapping and creating virtual environments

Many cultural heritage applications require 3D reconstruction of real-world objects and scenes. Over the past few years, it has become increasingly common to use 3D digitization and modeling for this purpose. This is mainly due to advances in laser-scanning techniques, 3D modeling software, image-based modeling techniques, computer power, and virtual reality. Our approach integrates several technologies based on our experience over more than a decade of trying to accurately and completely model large-scale heritage monuments and sites. Using both interactive and automatic techniques, we can model a highly detailed structure or site at various levels of detail. We use image-based modeling for basic shape and structural elements, and laser scanning for fine details and sculpted surfaces. To present the site in its proper context, we use image-based rendering for landscapes and surroundings. To apply this approach, we created hundreds of models from sites all over the world for documentation, walk-through movies, and interactive visualization. The results were compelling and encouraging.

Detailed 3D reconstruction of large-scale heritage sites with integrated techniques

In this article developments and performance analysis of image matching for detailed surface reconstruction of heritage objects is discussed. Three dimensional image-based modeling of heritages is a very interesting topic with many possible applications. In this article we propose a multistage image-based modeling approach that requires only a limited amount of human interactivity and is capable of capturing the fine geometric details with similar accuracy as close-range active range sensors. It can also cope with wide baselines using several advancements over standard stereo matching techniques. Our approach is sequential, starting from a sparse basic segmented model created with a small number of interactively measured points. This model, specifically the equation of each surface, is then used as a guide to automatically add the fine details. The following three techniques are used, each where best suited, to retrieve the details: 1) for regularly shaped patches such as planes, cylinders, or quadrics, we apply a fast relative stereo matching technique. 2) For more complex or irregular segments with unknown shape, we use a global multi-image geometrically constrained technique. 3) For segments unsuited for stereo matching, we employ depth from shading (DFS). The goal is not the development of a fully automated procedure for 3D object reconstruction from image data or a sparse stereo approach, but we aim at the digital reconstruction of detailed and accurate surfaces from calibrated and oriented images for practical daily documentation and digital conservation of wide variety of heritage objects.

Sabry F. El-Hakim

Papers

Image-based 3d modelling: a review

Patient positioning and monitoring system

Mobile system for indoor 3-d mapping and creating virtual environments

Detailed 3D reconstruction of large-scale heritage sites with integrated techniques

Turning images into 3-D models