Plenoptic Camera Viewpoints Rotation to Improve 3D Face Reconstruction

António Castilho Maia, José António Gaspar

Abstract: Recent advances in plenoptic technology offer new opportunities in the development of video surveillance systems. In this work we assess rotating large-baseline viewpoint cameras for accurate face-reconstruction at large depths. A first study with a 3D plane textured with a smooth gradient shows improvement of reconstruction accuracy by rectifying viewpoints rotation. A second study approaches a surveillance setting of a room with a pan-tilt-zoom camera-array. A human face is synthesized in the middle of the room, allowing to obtain ground truth depth. Results show the array of cameras provides a reconstruction accuracy similar to a near-target plenoptic camera despite of the expected larger face-self-occlusions.