作者: Shafaq Mussadiq , Rehan Hafiz
DOI: 10.1007/978-3-642-41939-3_33
关键词: Homogeneity (statistics) 、 Scheme (programming language) 、 Flexibility (engineering) 、 Artificial intelligence 、 Surface (mathematics) 、 Projection (set theory) 、 Mobile device 、 Perfect map 、 Computer vision 、 Decoding methods 、 Computer science
摘要: Traditional projection environments were characterized by static projectors projecting at specialized surfaces. The recent advent of pico projector-camera pair embedded into mobile devices provides flexibility to project in previously considered as unsuitable. One the major challenges for such systems is automatically select best portion from a cluttered environment suitable projection. In this paper we propose scheme most appropriate surface and then make confined selected area. decision suitability taken based upon color homogeneity size candidate surface; while finding correspondence between contents an existing perfect map spatial encoded pattern suggested. By performing decoding only regions projection; search space greatly reduced. Experiments show encouraging results.