







Software: Adobe Substance Painter, Premiere Pro, illustrator, Photoshop, ZBrush, Unreal Engine 4, Cinema 4D, Python
'Landmark' invites the viewer to birth unique real-time content. Guided by conventional surveillance tools like facial recognition and pupil tracking analysis, a lens delicately captures the participant's face. Within this digital canvas unfolds a visage crafted by Nvidia's StyleGAN, reflecting the participant's expressions and eye movements in a dance of art and technology. An intricate 3D point cloud face mesh converges with the generated face, offering a visual that vividly portrays the tracked landmarks of the participant's face and eyes. 'Landmark' is an exploration of human expression through the lens of generative art.
Portrait render of virtual installation in UE4.
Close up shot behind installation showing wiring.
Front view of installation
Video content from installation showing 52 blend shape face location coordinates, hand coordinates along with pupil tracking.
Python script running alongside real time video capture to track individual joints and bones in my hand.
Python script tracking 52 facial blend shapes (green dots) on an AI generated face applied to a rigged character in UE4.