Agisoft PhotoScan (commonly known as PhotoScan) is a professional tool for a photogrammetry pipeline. It performs photogrammetric processing of digital images and generates 3D spatial data. Agisoft Photoscan is the dominant photogrammetric software on the market, being used by a range of professions, from archaeology, cartographers to creators of virtual worlds and game developers. Unlike Visual SfM, it contains a complete program to numerous specific tasks and different types of data, and, as a novice to photogrammetric software, was easily managed, with an efficient workflow system.
A community map is a map produced collaboratively by residents of a particular locale, often featuring local knowledge and resource, it opens up cartography to the amateurs, and asks participants to share experience values and visions about particular places [Parker 2006].
In order to explore the potential of different generations, that could potentially participate in a community-based archaeology project, such as Ogham in 3D, or a different learning terrain, such as an exhibition in a library, I have been looking into Mindcraft.
Just a few weeks before my MA thesis was due, I was researching for diagrams of learning models, in particular related to Digital Literacies. I had an idea of a model in my head, but I couldn’t seem to find one that suited what I was trying to say. I wanted to find a learning model that was not angular, A > B, or cyclical, A > B > C > A > B > C…… Of course, new lines of thought, are not a good idea in the last few weeks of a thesis, but it was a nagging one and I had to explore it, albeit briefly. In my thesis, it was just a brief paragraph.
My original idea for an animation about Ogham Stones, was to create a virtual world, where Ogham Stones that have been relocated, could be returned to their original site in a virtual world. This could be applied to Ogham Stones, in Museums and other collections. An example of this is the Ogham Stones from Ballinrannig, Co, Kerry. In the late 1700’s a collection of seven Ogham Stones and a cross slab were revealed in Ballinrannig, Smerwick Harbour, Co. Kerry, when a storm shifted the sand covering them. Lord Ventry, of Burnham House, moved six of upright Ogham Stones, and a cross slab. He placed four of the stones along with the cross slab in his driveway.
The cultivation of learning is a cognitive and emotional and social activity [Illeris 2002]
Investigation and identification of digital literacy activities, since the inception of the world wide web and personal computers, has been the concern of numerous researchers. The need for mastering electronic tools, ability to plan, execute and evaluate digital actions; these skills are now considered crucial [Fieldhouse & Nicholas 2008, Martin 2003].
As discussed in a previous article, Digital Literacies is one of the nine themes of Engaged Digital Citizenship. I wrote only briefly about it though, as it is a complex theme in itself and it warranted having its own article. Of all the nine themes of Engaged Digital Citizenship, Digital Literacy has the most meaning and potential to facilitate knowledge, ideas and communication in community based digital projects. In order to be able to research the benefits and obstacles within digital community-based projects, it is essential to understand what Digital Literacy means: with regard to the practical, pedagogical and lifelong learning. In this article I will discuss why we need to know about digital literacies.
In my quest for the holy grail of knowledge; how individuals, community-based projects and digital technologies can positively facilitate each other, I am researching ‘engaged digital citizenship’. To truly understand how individuals can become digital citizens, I am looking at the policies and research on the subjects of engaged digital citizenship, including digital communications, digital literacies and digital health and well-being. By being acutely aware of the themes of Digital Citizenship, I can gauge better the successfulness of a digital praxis in a community-led project.
I’m starting to think that next big innovation online, other than ‘Big Data’ (the relation of massively huge sets of data to one another to make deeper insights possible), is ‘Meaningful Data’. 1
Note: This quote by Louis Jordan, is more accurate a description about Web 2.0 that we realise. Huge quantities of data files are being uploaded to the internet every day. Latest statistics from YouTube say 60 hours of video are uploaded every minute. With cloud storage being offered for low prices, we are gathering digital data at an incredible rate, which not only questions, do we need to store all this data, but, how are we going to find anything ever again? Do a search on Google theses day, you rarely get what you are looking for. Unless you know how to search. I’ve become an expert at searching, I though it was because, I was just becoming more saavy, until I realised, I was, unknowingly becoming more metadata aware. I have been trying to get round to learning more about metadata, and how it can be used for my research, but then I realised it should not be just for research. Metadata is for Life!
From reviewing the paper The Untapped Potential of Low Cost Photogrammery in Community-Based Archaeology, it was easy to see that photogrammetry can be used as an alternative to high resolution surveying with high costs.
Traditional softcopy photogrammetric methods require the 3-D location and pose of the camera(s), or the 3-D location of ground control points to be known to facilitate scene triangulation and reconstruction. In contrast, the SfM method solves the camera pose and scene geometry simultaneously and automatically, using a highly redundant bundle adjustment based on matching features in multiple overlapping, offset images [Westoby et al 2012].
Structure from motion is the geometry of creating 3D models from 2D images. If you are interested in the maths behind SfM, visit Prof. Rob Fergus’s lecture notes on Computer Vision, or geometric vision, in particular Lecture 6 on Multiview Stereo & Structure from Motion. It is quite interesting to see the process. Thankfully, to Wu Changchang, we don’t need to understand the mathematics behind how Structure from Motion works, to be able to use it. In his post-doc year at University of Washington Seattle, he developed Visual SfM.