中国光学Issue(5)：785-793,9.DOI:10.3788/CO.20150805.0785
十亿像素瞬态成像系统实时图像拼接
Real time image mosaic of the transient gigapixel imaging system
摘要
Abstract
In order to meet the requirement of the engineering application about the real-time image process-ing, according to the one billion pixel transient cloud imaging system which has been designed based on the combined structure of a concentric spherical lens and micro camera mosaic array, an adaptive image mosaic al-gorithm of parallel acceleration based on the compute unified device architecture( CUDA) and prior informa-tion has been proposed.First, the imaging overlap region of the adjacent micro camera has been calibrated with high-precision four-axe calibration table, and the speed-up robust features( SURF) method has been used to extract the candidate feature points of the overlap region.Then, the approximate nearest neighbor( ANN) search algorithm based on random K-D tree which has been accelerated by the CUDA basic linear algebra sub-routines(CUBLAS) is used to obtain the initial matching points.Finally, the improved parallel progressive sample consensus( IPROSAC) algorithm is used to eliminate the false matching points and estimate the param-eters of the space transformation matrix, and the spatial geometry transformation relationship has been obtained about mosaic images.Experimental results indicate that the image mosaic time is 287 ms and the speed is im-proved about 30 times compared with serial algorithm using CPU.关键词
瞬态成像/图像拼接/统一计算设备架构Key words
transient imaging/image mosaic/compute unified device architecture(CUDA)分类
信息技术与安全科学引用本文复制引用
王新华,王晓坤..十亿像素瞬态成像系统实时图像拼接[J].中国光学,2015,(5):785-793,9.基金项目
国家自然科学基金资助项目（No．61170092）；国家自然科学基金重点资助项目 （）
