Parallelization of Computing-Intensive Tasks of SIFT Algorithm on a Reconfigurable Architecture System

[1]  Jie Yang,et al.  Efficient Indexing for Mobile Image Retrieval , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

[2]  Xubang Shen,et al.  Overview of approaches for accelerating scale invariant feature detection algorithm , 2011, 2011 International Conference on Electric Information and Control Engineering.

[3]  Binoy Pinto,et al.  Speeded Up Robust Features , 2011 .

[4]  Paul Suetens,et al.  Feature detection on 3D face surfaces for pose normalisation and recognition , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[5]  Jitendra Malik,et al.  Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[6]  S. Fazli,et al.  Particle Filter Based Object Tracking with Sift and Color Feature , 2009, 2009 Second International Conference on Machine Vision.

[7]  Wenquan Feng,et al.  An architecture of optimised SIFT feature detection for an FPGA implementation of an image matcher , 2009, 2009 International Conference on Field-Programmable Technology.

[8]  Donghyun Kim,et al.  81.6 GOPS Object Recognition Processor Based on a Memory-Centric NoC , 2009, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[9]  George A. Constantinides,et al.  A Parallel Hardware Architecture for Scale and Rotation Invariant Feature Detection , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[10]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[11]  Qi Zhang,et al.  SIFT implementation and optimization for multi-core systems , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.

[12]  Bomjun Kwon,et al.  Parallelization of the Scale-Invariant Keypoint Detection Algorithm for Cell Broadband Engine Architecture , 2008, 2008 5th IEEE Consumer Communications and Networking Conference.

[13]  Jan-Michael Frahm,et al.  Feature tracking and matching in video using programmable graphics hardware , 2007, Machine Vision and Applications.

[14]  David G. Lowe,et al.  Scene modelling, recognition and tracking with invariant image features , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

[15]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[16]  R. Sukthankar,et al.  PCA-SIFT: a more distinctive representation for local image descriptors , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[17]  J. Koenderink The structure of images , 2004, Biological Cybernetics.

[18]  C. Schmid,et al.  A performance evaluation of local descriptors , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[19]  W. Eric L. Grimson,et al.  Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  T. Lindeberg,et al.  Scale-Space Theory : A Basic Tool for Analysing Structures at Different Scales , 1994 .