Month: March 2017

Task: Superimposing a facial image of another person on your face on camera

1. Detection of the face using the camera & drawing out its perimeters (sensing)
2. Placing another face, upload a facial .jpg with black background
3. Blending the image onto the detected face and follow it, soften its edges (effecting)

First part:
The detection of the face and calculating its perimeters is similar to what we’ve been doing for the previous exercises. (jit.grab + cv.jit.faces)

Second part:
Import your cropped image (just the face with black background) using either ‘read’ or ‘importmovie’. Remember to bang it when you run the patch.

Third part:
Define the position of the imported image, by using destination dimensions on the jit.matrix. The attributes ‘@dstdimstart’ and ‘@dstdimend’ tells the incoming matrix the specific start and end position where it should be. Therefore, this function can be used to match the location of the image to the x and y coordinates of the detected face.

Fourth part:
Blend the image and the detected face together using ‘jit.alphablend @mode 1’. Soften the edges using ‘jit.fastblur@mode 4 @range 3’.

Notes:

jit.alphablend @mode 0 -> displays just the voldemort mask
@mode 1 -> displays both the mask and camera image (use this)

You can switch between colour and b/w version using ‘gswitch2’. However, I think the black and white version blends better and looks more natural as compared to the coloured one!

Video documentation

Task: Create a photobooth programme that directs the user to the centre of the screen, and takes a photo 3 seconds after he/she is in the right position.

1. Detection of the face and drawing its perimeters (sensing)
2. Different audio tracks triggered based on the position of the user (effecting):
   Right – play “move left!”
   Left – play “move right!”
   Up – play “go down!”
   Down – play “go up!”
3. Take photo if no audio tracks are triggered for 3 seconds (effecting)

The first part is similar to the previous assignment: using jit.grab and cv.jit.faces to display and detect the human face. Draw out the perimeters of the face.

Using jit.iter, separate the four x and y values of the detected face. Depending on the dimensions and size of your camera window, determine the x and y values for the photobooth (a box area in the middle of the screen).

If the user’s position is out of bounds, the x value will be bigger than or smaller than the designated middle box, and the audio track will be triggered. If the value = 0 or within the perimeters of the box, nothing will happen.

If the user’s position remains within the middle box for more than 3 seconds, a screenshot will be taken and saved onto the desktop!

Video documentation

Notes: