Fully automated texture tracking based on natural features extraction and template matching

Authors:
Rafael Bastos;José Miguel Salles Dias
Affiliations:
ADETTI Av. das Forças Armadas, Edifício ISCTE, Lisboa, Portugal;ADETTI Av. das Forças Armadas, Edifício ISCTE, Lisboa, Portugal
Venue:
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
Year:
2005

Citing 2
Cited 1

Adaptive Thresholding of Document Images Based on Laplacian Sign

ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
A real-time tracker for markerless augmented reality

ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality

Skin Color Profile Capture for Scale and Rotation Invariant Hand Gesture Recognition

Gesture-Based Human-Computer Interaction and Simulation

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this work we propose a novel approach to real-time texture tracking and registration, based on natural feature extraction from planar objects and template matching, Our method is oriented to planar objects with arbitrary textures but with rectangular topologies and well contrasted contours and does not require any external fiducial marker, either for the set-up or the tracking phases. Once the initial pose condition is obtained, previous planar object information is used to compute subsequent planar object's pose, so that the time coherence of the input video stream is exploited. Our system is completely automated and produces real-time efficient tracking which can be applied to entertainment AR applications and other. The paper discusses also the novelty of the approach, in relation to other existing texture tracking algorithms.