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Audio Visualizer Study

Physics Audio Visualizer Study from Nick Hardeman on Vimeo.

Audio Reactive Visuals

Audio Reactive Visuals


Kinected Portraits – Process

This post describes the process involved for the Kinected Portrait Series.

A custom OpenFrameworks application captured depth information using the Microsoft Kinect. The depth information was calibrated to a color image that was also captured by the kinect. Below is the raw color and depth information.

_kinectImage

Kinect color image

kinectDepth

Kinect Depth Data

 

 

 

 

 

 

 

 

 

A series of meshes were generated with incremental triangle size  from 1 Р19. Below demonstrates the difference in spacing between the different generated meshes, 1 being the tightest and 19 being the loosest.

mesh_spacing

Various mesh sizes were chosen that allow smooth transitions between tighter meshes and looser meshes. Level 2, 4 and 8 were used to create a composite.

meshes 2 - 4 - 8

Mesh sizes 2, 4 and 8 from left to right.

The meshes were placed onto the captured color image in photoshop. The tighter meshes denoted the darker areas and the looser ones were utilized for the lighter areas, creating a ‘mesh hatching’ style. Originally the OpenFrameworks application algorithmically¬†blended the meshes based on the lightness of the image, but the process by hand provided a much more pleasing result.

composite_w_mesh

Color Image with Mesh Composite Overlay in Photoshop

Kinected Portrait - Ryan - Mesh Composite Print

Mesh composite print out on tracing paper

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