tailieunhanh - Báo cáo hóa học: " Research Article ipProjector: A Vision-Based Framework for Unsupervised Ubiquitous Object Augmentation Using a Portable Projector-Camera System"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article ipProjector: A Vision-Based Framework for Unsupervised Ubiquitous Object Augmentation Using a Portable Projector-Camera System | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011 Article ID 572596 17 pages doi 2011 572596 Research Article ipProjector A Vision-Based Framework for Unsupervised Ubiquitous Object Augmentation Using a Portable Projector-Camera System Thitirat Siriborvornratanakul and Masanori Sugimoto Interaction Technology Laboratory Department of Electrical Engineering and Information Systems The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Correspondence should be addressed to Thitirat Siriborvornratanakul thitirat@ Received 13 July 2010 Revised 25 November 2010 Accepted 9 February 2011 Academic Editor Karen Panetta Copyright 2011 T. Siriborvornratanakul and M. Sugimoto. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. ipProjector stands for interactive portable projector which is a project trying to make a smart projection system while retaining absolute portability of the devices and setups. In this paper an ipProjector framework is proposed for unsupervised real-time object augmentation applications. Scene-independent projector-camera geometric calibration is introduced so that the projected augmentation always appears in the desired geometry despite an unconstrained surface. Using nonintrusive projection the system can ensure correct vision-based analysis because external appearances of the environment and object as seen by the camera are hardly changed by the overlaid projected content. Finally an unsupervised visual detector is used to guarantee robustness of the detection regardless of lighting variations. Several image processing algorithms are applied in the framework including image warping using perspective transformation color conversion using the nearest-neighbor search algorithm and multiscale visual detection. Based .