Authors:
Mika Taskinen
;
Tero Säntti
and
Teijo Lehtonen
Affiliation:
University of Turku, Finland
Keyword(s):
Depth, Sensor, Plane, Equation, Tracking, 3D, Augmented Reality.
Related
Ontology
Subjects/Areas/Topics:
3D Virtual Environments and Surveillance Applications
;
Image and Video Processing, Compression and Segmentation
;
Multimedia
;
Multimedia Signal Processing
;
Multimedia Systems and Applications
;
Sensors and Multimedia
;
Telecommunications
Abstract:
The emergence of depth sensors has made it possible to track not only monocular cues but also the actual
depth values of the environment. This is especially useful in augmented reality solutions, where the position
and orientation (pose) of the observer need to be accurately determined. Depth sensors have usually been used
in augmented reality as mesh builders and in some cases as feature extractors for tracking. These methods
are usually extensive and designed to operate by itself or in cooperation with other methods. We propose a
systematic light-weight algorithm to supplement other mechanisms and we test it against a random algorithm
and ground truth.