[1] Agarwal S, Snavely N, Simon I, Seitz S M, Szeliski R. Build-ing Rome in a day. In Proc. the 12th ICCV, Sept. 2001,pp.72-79.[2] Frahm J M, Georgel P, Gallup D et al. Building Rome on acloudless day. In Proc. the 11th ECCV, Sept. 2010, pp.368-381.[3] Snavely N, Seitz S, Szeliski R. Photo tourism: Exploringphoto collections in 3D. In Proc. SIGGRAPH, Jul. 30-Aug. 3,2006, pp.835-846.[4] Agarwal S, Snavely N, Seitz S et al. Bundle adjustment in thelarge. In Proc. the 11th ECCV, Part 2, Sept. 2010, pp.29-42.[5] Wu C C, Agarwal S, Curless B, Seitz S. Multicore bundleadjustment. In Proc. CVPR, June 2011, pp.3057-3064.[6] Lourakis M, Argyros A. SBA: A software package for genericsparse bundle adjustment. ACM Transactions on Mathemat-ical Software, 2009, 36(1), Article No. 2.[7] Triggs B, Mclauchlan P, Hartley R et al. Bundle adjustment— A modern synthesis. In Proc. the Int. Workshop onVision Algorithms: Theory and Practice, Sept. 1999, pp.298-372.[8] Byröd M, Aström K. Bundle adjustment using conjugate gra-dients with multiscale preconditioning. In Proc. BMVC,Sept. 2009.[9] Byröd M, oAström K. Conjugate gradient bundle adjustment.In Proc. the 11th ECCV, Sept. 2010, pp.114-127.[10] Jeong Y, Nister D, Steedly D et al. Pushing the envelopeof modern methods for bundle adjustment. In Proc. CVPR,June 2010, pp.1474-1481.[11] Choudhary C, Gupta S, Narayanan P J. Practical time bun-dle adjustment for 3D reconstruction on the GPU. In ECCVWorkshop on Computer Vision on GPUs, Sept. 2010.[12] Chen D H, Chen W G, Zheng W M. CUDA-Zero: A frame-work for porting shared memory GPU applications to multi-GPUs. Science China Information Sciences, 2012, 55(3):663-676.[13] Yang X, Tang T, Wang G et al. MPtostream: An OpenMPcompiler for CPU-GPU heterogeneous parallel systems. Sci-ence China Information Sciences, 2012, 55(9): 1961-1971.[14] Engels C, Stewenius S, Nister D. Bundle adjustment rules. InProc. PCV, Sept. 2006, pp.266-271.[15] Shonkwiler R, Lefto L. An Introduction to Parallel and VectorScientific Computing. London: Cambridge University Press,2006.[16] Park I Y, Singhal N, Lee M H et al. Design and performanceevaluation of image processing algorithms on GPUs. IEEETrans. Parallel and Distributed Systems, 2011, 22(1): 91-104.[17] Castano-Díez D, Moser D, Schoenegger A et al. Performanceevaluation of image processing algorithms on the GPU. Jour-nal of Structural Biology, 2008, 164(1): 153-160.[18] Bordawekar R, Bondhugula U, Rao R. Can CPUs matchGPUs on performance with productivity?: Experiences withoptimizing a FLOP-intensive application on CPUs and GPU.Technical Report, IBM T. J. Watson Research Center, 2010.[19] Alcantara D, Sharf A, Abbasinejad F et al. Real-time parallelhashing on the GPU. ACM Transactions on Graphics, 2009,28(5), Article No. 154. |