Points of View

'Points of View' is an interactive digital artwork exploring how we, as data subjects, are surveilled, captured and individualised through the parameters of our own gaze, our own point of view. The project employs real-time video face-tracking, calculating the physical location and attitude of each viewer's face as it appears in the camera observing the space in front of the work. Each viewer's captured face image is normalised for size and location but, importantly, rendered at an angle specific to where they are located in the scene captured by the installation video camera. Thus the left to right location of each viewer determines the angle from which the rendering of their face is viewed. Each viewer's face is rendered as a transparent layer so that all the viewers can see all the other viewers faces from all the points of view, simultaneously.

'Points of View' integrates aspects of previous interactive artworks, including 'Normaleyes' (2025), 'Diffusion' (2025) and 'Data Double' (2022), that each explores aspects of interactive rendering of the subject.

Technical specification: Macbook Pro M3 Max, OSX 14.4.1, Processing 4.3 with OpenCV library, 4K display, Canon EOS R50 camera with 18-45mm lens.