Accelerating SURF detector on mobile devices

MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia

Volumn , Issue , 2012, Pages 569-578

  Yang, Xin ^a   Cheng, Kwang Ting ^a  

^a University of California   (United States)

Author keywords

acceleration; branch prediction; cache miss; data access patterns; mobile phones; pipeline hazards penalty; point detection; surf

Indexed keywords

BRANCH PREDICTION; CACHE MISS; DATA ACCESS PATTERNS; POINT DETECTION; SURF;

ACCELERATION; ALGORITHMS; AUGMENTED REALITY; HAZARDS; MOBILE DEVICES; MOBILE PHONES; PIPELINES;

DETECTORS;

EID: 84871383519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2393427     Document Type: Conference Paper

References (22)

1. Bay, H., Ess, A., Tuytelaars, T. and Gool, L.V.. SURF: Speeded-up Robust Features. In Proc. of ECCV'06.
2. Bay, H., Ess, A., Tuytelaars, T. and Gool, L.V.. Speeded-up Robust Features (SURF). In CVIU, 110(3), June, 2008.
3. Rublee, E., Rabaud, V., Konolige, K., and Bradski, G.. ORB: an Efficient Alternative to SIFT or SURF. In Proc. of ICCV'11.
4. Rosten, E. and Drummond, T.. Machine Learning for High Speed Corner Detection. In Proc. of ECCV'06.
5. Rosten, E., Porter, R., and Drummond, T.. Faster and Better: A machine learning approach to corner detection. In IEEE Trans. PAMI, 32:105-119, 2010.
6. Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T. and Schmalstieg, D.. Pose tracking from natural features on mobile phones. In Proc. of ISMAR'08.
7. Wagner, D., Mulloni, A., Langlotz, T., and Schmalstieg, D.. Real-time Panoramic Mapping and tracking on Mobile Phones. In Proc of VR'10.
8. Ta, D.N., Chen, W.C., Gelfand, N., and Pulli, K.. SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors. In Proc. of CVPR'09.
9. Chen, W.C., Xiong, Y. G., Gao, J., Gelfand, N. and Grzeszczuk, R.. Efficient Extraction of Robust Image Features on Mobile Devices. In Proc. of ISMAR'07.
10. Terriberry, T. B., French, L. M., and Helmsen, J.. GPU Accelerating Speeded-Up Robust Features. In Proc. of 3DPVT'08.
11. Clemons, J., Jones, A., Perricone, R., Savarese, S., and Austin, T.. EFFEX: An Embedded Processor for Computer Vision Based feature Extraction. In Proc. of DAC'11.
12. Clemons, J., Zhu, H.S., Savarese, S., and Austin, T.. MEVBench: A Mobile Computer Vision Benchmarking Suite. In Proc. of ISWC'11.
13. Silpa, B.V.N. and Patney, A. and Krishna, T. and Panda, P.R. and Visweswaran, G.S.. Texture Filter Memory; A Power-Efficient and Scalable Texture Memory Architecture for Mobile Graphics Processors. In Proc. of ICCAD'08.
14. OpenCV2.3.1, http://sourceforge.net/projects/opencvlibrary/
15. ImageMagick, http://www.imagemagick.org/script/index.php
16. Lowe, D. G.. Distinctive image features from scale-invariant keypoints. In IJCV, 60(2):91-110, 2004.
17. Foley, J. D., Dam, A. V., Feiner, S. K., and Hughes ,J. F.. Computer Graphics, Principles and Practice, Second Edition. Addison-Wesley, Reading, Massachusetts, 1990.
18. Coleman, S. and McKinley, K. S.. Tile size selection using cache organization and data layout. In Proc. of SIGPLAN'95.
19. Calonder, M., Lepetit, V., Strecha, C., and Fua, P.. BRIEF: Binary Robust Independent Elementary Features. In Proc. of ECCV'10.
20. Rosin, P. L.. Measuring Corner Properties. In CVIU, 73(2):291-307, 1999.
21. Yang, X., Liu, Q., Liao, C.Y., and Cheng, K.T.. Large-Scale EMM Identification Based on Geometry-Constrained Visual Word Correspondence Voting. In Proc. of ICMR' 11.
22. Gauglitz, S., Hollerer, T., and Turk, M.. Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking. In IJCV, 94(3):335-360, 2011.