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When you meet your friends, the method you identify your friends would be his face. Perhaps, the part which has one of the biggest information showing in human will be face. It is also reflected well in the research trend of digital humanity. It is likely that every people uses facebook’s photo tag or finding a similar celebritiy. Through digital tools such as facial recognition techniques, data mining, graph theory and visualization, we can develop the methodology to analyze human face and its appliance as well. Here are several intriguing attempts putting these techniques to practical use.

First, you will find the special effort in order to analyze relation between the face to the emotion in the article of ‘Understanding the Representation of the Human Through the Analysis of Faces in World Painting’. Human facial representations contain a human expressions and emotions archive that can help us understand, through a science of the face (Cleese and Ekman 2001), various human condition traits that evolved through time and space. They sought to answer questions about periods in art history, such as the Baroque significance as a culture derived from human expression.


Figure 1:
Example of face graph for two randomly selected paintings. The red crosses basic features. The blue lines show the different distances in between the features.

The methodology borrows some ideas from the Culturomics (Michel et al. 2011) concept to deal with a huge amount of data and applying a face recognition algorithm which is also used in Facebook’s photo-tagging system. It tackles the study of this huge amount of features in three steps.

  1. building a graph with the set of basic features.
  2. finding clusters in the extended features.
  3. comparing the graphs and the clusters, corresponding to the basic and extended features respectively.

On the other hand, here is another attempt to perform a similar objective and holistic analysis of human relations by using different digital techniques. In the study ‘Research to clarify the interrelationships between family members through the analysis of family photographs’, digital technologies are also indispensable. Digital tools were used so that network analysis of all of the people could be depicted on over 100 photographs and it requires not only functions that assign the information of person to images but also computing facilities that perform network analysis on relationships between tagged persons, and in order to implement this.

It is necessary to perform numerical analysis of the people displayed together in photographic materials that were taken during the family’s official events. Thus, we constructed a digital cultural heritage system to analyze relationship in a family using photograph. The techniques used in the research are

§  Iconographic Analysis using Authoritative Information.

§  Photograph Annotator

§  Family network analysis results


Annotation Display

At last, you can see other technique called Reverse Image Lookup (RIL) technologies — usually used to identify unlicensed reuse of commercial photography — to help in assessing the impact of digitized content. In order to establish where they were reused on other webpages, they assessed current methods available for applying RIL, establishing how useful it can be to the cultural and heritage sectors.

RIL technologies are those which allow you to track and trace image reuse online. The main commercial service, TinEye, available since 2008, finds ‘exact and altered copies of the image you submit, including those that have been cropped, colour adjusted, resized, heavily edited or slightly rotated’ (TinEye, n.d). Since 2007, Google Image Search has also provided a free service which can find similar images across the Internet.


Not Exactly Prima Facie: Understanding the Representation of the Human Through the Analysis of Faces in World Painting


Reverse Image Lookup, Paintings, Digitisation, Reuse


Research to Clarify the Interrelationships Between Family Members Through the Analysis of Family Photographs