2011 IEEE International Symposium on Mixed and Augmented Reality

Format:

Book

Author/Creator:

Institute of Electrical and Electronics Engineers, author, issuing body.

Contributor:

IEEE Staff, Contributor.

Language:

English

Subjects (All):

Augmented reality--Congresses.

Augmented reality.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] IEEE 2011

Language Note:

English

Summary:

We present a system for accurate real-time mapping of complex and arbitrary indoor scenes in variable lighting conditions, using only a moving low-cost depth camera and commodity graphics hardware. We fuse all of the depth data streamed from a Kinect sensor into a single global implicit surface model of the observed scene in real-time. The current sensor pose is simultaneously obtained by tracking the live depth frame relative to the global model using a coarse-to-fine iterative closest point (ICP) algorithm, which uses all of the observed depth data available. We demonstrate the advantages of tracking against the growing full surface model compared with frame-to-frame tracking, obtaining tracking and mapping results in constant time within room sized scenes with limited drift and high accuracy. We also show both qualitative and quantitative results relating to various aspects of our tracking and mapping system. Modelling of natural scenes, in real-time with only commodity sensor and GPU hardware, promises an exciting step forward in augmented reality (AR), in particular, it allows dense surfaces to be reconstructed in real-time, with a level of detail and robustness beyond any solution yet presented using passive computer vision.

Notes:

Bibliographic Level Mode of Issuance: Monograph

ISBN:

9781457721854

1457721856

9781457721847

1457721848