Today we looked at Persistence of Vision (POV) and Convergence.  POV is the generally encouraged theory that the eye retains some information from what we have just previously seen and merges it together, seamlessly with what we are currently seeing, hence how we perceive moving images or movies.  Below are two examples of POV:

This is a series of images Eadweard Muybridge (who proved the theory that horses completely leave the ground whilst running) used.  I used the rectangular selection tool in Photoshop to copy each image on to seperate layers, then set the transition time and saved the following series as a GIFF file using the ‘Animation’ tool in order to view the progession of the images on the internet:

Here is another example using the same technique but a bit larger and clearer.  I will also note that when saving the image as a GIFF file I reduced the RGB (or in this case, monochrome) in order to reduce the file size, but not necessarily noticeably reducing the quality (Image by Gordon McConnell, taken from :

And the POV:


Convergence is the coming together of technologies.  For example, in the case of DSLR’s, convergence is the ability to shoot film on a predominantly still frame camera.  Below is an example of a movie created on a still frame camera (Canon EOS 5d Mark II), a beautiful example of convergence, especially with the narrow depth of field achieved via the full frame sensor:

Below is another example of a Persistence of Vision that I saved as a GIFF file.  Something put together for a bit of fun and creative outlet:

I used images from the web to construct individual layers on photoshop and carefully put them into a sequence where the unassuming cow is abducted by quick ‘pass-and-grab’ alien kidnappers.