Title :
Circular data matrix fiducial system and robust image processing for a wearable vision-inertial self-tracker
Author :
Naimark, Leonid ; Foxlin, Eric
Abstract :
A wearable low-power hybrid vision-inertial tracker has been demonstrated based on a flexible sensor fusion core architecture, which allows easy reconfiguration by plugging-in different kinds of sensors. A particular prototype implementation consists of one inertial measurement unit and one out-ward-looking wide-angle smart camera, with a built-in DSP to run all required image-processing tasks. The smart camera operates on newly designed 2D bar-coded fiducials printed on a standard black-and-white printer. The fiducial design allows having thousands of different codes, thus enabling uninterrupted tracking throughout a large building or even a campus at very reasonable cost. The system operates in various real-world lighting conditions without user intervention due to homomorphic image processing algorithms for extracting fiducials in the presence of very non-uniform lighting.
Keywords :
augmented reality; computer vision; optical tracking; sensor fusion; 2D bar-coded fiducials; black-and-white printer; built-in DSP; campus; circular data matrix fiducial system; flexible sensor fusion core architecture; homomorphic image processing algorithms; inertial measurement unit; large building; nonuniform lighting; outward-looking wide-angle smart camera; real-world lighting conditions; reconfiguration; robust image processing; uninterrupted tracking; wearable low-power hybrid vision-inertial self-tracker; Digital signal processing; Image processing; Intelligent sensors; Measurement units; Printers; Prototypes; Robustness; Sensor fusion; Smart cameras; Wearable sensors;
Conference_Titel :
Mixed and Augmented Reality, 2002. ISMAR 2002. Proceedings. International Symposium on
Print_ISBN :
0-7695-1781-1
DOI :
10.1109/ISMAR.2002.1115065