Title :
A Study on Image Splicing Algorithm for Large Screen Multi-touch Technique
Author :
Wang, Feng ; Deng, Hui ; Ki, Kaifan ; Ting, Qi
Author_Institution :
Yunnan Comput. Technol. Applic. Key Lab., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
Since the advent of multi-touch technique, vision-based multi-touch devices are rapidly developed and deployed in many occasions such as white-board for e-Education and interactive advertisement board. Enlarging screen size and increasing display resolution are two essentials to make manipulation more precisely and more fluently. In this paper, we present an effective algorithm to support multiple images splicing in multiple camera environment. The algorithm is using barycentric coordinates to locate the touch point and correct the location error. In theory, the algorithm is capable of supporting unlimited image splicing. Finally, we discussed the limitation of the algorithm and the future works.
Keywords :
Cameras; Computer applications; Computer vision; Fingers; Force measurement; Machine vision; Man machine systems; Splicing; Surface acoustic wave devices; Surface resistance; computer vision; image processing; image splcing; large size screen; multi-touch;
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
DOI :
10.1109/MVHI.2010.25