Occlusion detection in front projection environments based on camera-projector calibration

• Main Author: Hilario, Maria Nadia
• Format: Others
• Language: en
• Published: McGill University 2005
• Subjects: Computer Science.
• Online Access: http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=83866

Camera-projector systems are increasingly being used to create large displays for data visualization, immersive environments and augmented reality. Front projection displays, however, suffer from occlusions, resulting in shadows and light being cast, respectively, onto the display and the user. Researchers have begun addressing the issue of occlusion detection to enable dynamic shadow removal and to facilitate automatic user sensing in interactive display applications. A camera-projector system for occlusion detection in front projection environments is presented. The approach is based on offline, camera projector geometric and color calibration, which then enable online, dynamic camera view synthesis of arbitrary projected scenes. Occluded display regions are detected through pixel-wise differencing between predicted and captured camera images. The implemented system is demonstrated for dynamic shadow detection and removal using a dually overlapped projector display.