FIRST - Fast Invariant to Rotation and Scale Transform: Invariant Image Features for Augmented Reality and Computer Vision - Tapa blanda

Bastos, Rafael

 
9783639174892: FIRST - Fast Invariant to Rotation and Scale Transform: Invariant Image Features for Augmented Reality and Computer Vision
Tapa blanda
ISBN 10: 3639174895 ISBN 13: 9783639174892
Editorial: VDM Verlag, 2009

Sinopsis

A variety of application areas can be attained in the fields of human-computer interaction for augmented and mixed reality, object tracking and gesture recognition. By combining the areas of 3D computer graphics, computer vision and programming, we have developed a fast, yet robust and accurate image feature detector and matcher to solve common problems that arise in the mentioned research areas. In this thesis, frequent computer vision and augmented reality problems related to camera calibration, object recognition/tracking, image stitching and gesture recognition, are shown to be solved in real-time using our novel feature detection and matching technique. Our method is referred to as FIRST ¿ Fast Invariant to Rotation and Scale Transform. We have also generalized our texture tracking algorithm to a near model base tracking method, using pre-calibrated static planar structures. Our results are compared and discussed with other state of the art works in the areas of invariant feature descriptors and vision based augmented reality, both in accuracy and performance.

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Reseña del editor

A variety of application areas can be attained in the fields of human-computer interaction for augmented and mixed reality, object tracking and gesture recognition. By combining the areas of 3D computer graphics, computer vision and programming, we have developed a fast, yet robust and accurate image feature detector and matcher to solve common problems that arise in the mentioned research areas. In this thesis, frequent computer vision and augmented reality problems related to camera calibration, object recognition/tracking, image stitching and gesture recognition, are shown to be solved in real-time using our novel feature detection and matching technique. Our method is referred to as FIRST - Fast Invariant to Rotation and Scale Transform. We have also generalized our texture tracking algorithm to a near model base tracking method, using pre-calibrated static planar structures. Our results are compared and discussed with other state of the art works in the areas of invariant feature descriptors and vision based augmented reality, both in accuracy and performance.

Biografía del autor

Rafael Bastos was born in Lisbon(1980). He received a BSc(2003) and a Msc(2006) in Telecommunications and Computers Engineering from ISCTE, where he finished his PhD in Information Sciences and Technologies-Computer Graphics and Multimedia(2008). He currently works at VISION-BOX (computer vision, biometric and electronic security systems)

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Editorial
VDM Verlag
Año de publicación
2009
Idioma
Inglés
ISBN 10 
3639174895
ISBN 13 
9783639174892
Encuadernación
Tapa blanda
Número de páginas
160
Contacto del fabricante
no disponible
Persona responsable
no disponible