Liquid Face transforms the webcam feed into an ethereal fluid simulation where movement creates rippling distortions in the image. The piece turns viewers into active participants, as their motions generate flowing, aqueous effects that blur the line between human form and abstract patterns.
The visualization processes the camera input through pixel displacement and difference detection algorithms, creating ghost-like traces that follow motion. The monochromatic turquoise palette adds to the underwater aesthetic, making participants appear as if they're being viewed through layers of flowing water or being transformed into spectral entities.
Technical Implementation
The piece combines several real-time processing techniques:
- Webcam input capture and analysis
- Motion detection through frame differencing
- Pixel displacement based on movement intensity
- Fluid simulation integration with video feed
- Color channel manipulation for the aqueous effect
The system continuously analyzes differences between video frames to detect movement, using this data to drive a fluid simulation that distorts the image. Areas of higher movement create stronger distortions, allowing participants to "paint" with their motion in real-time.
Parameters
- Motion Sensitivity
- Adjustable, 0.2-1.0
- Fluid Viscosity
- Variable, 0.3-0.8
- Distortion Strength
- Dynamic, 0.1-1.0
- Color Intensity
- 0.7