Spatial statistics of image features for performance comparison

IEEE Transactions on Image Processing

Volumn 23, Issue 1, 2014, Pages 153-162

  Bostanci, Erkan ^a   Kanwal, Nadia ^a   Clark, Adrian F ^a  

^a UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

Evaluation; Image feature coverage; Spatial statistics

Indexed keywords

EVALUATION; FEATURE DETECTOR; HOMOGRAPHY ESTIMATIONS; IMAGE FEATURES; LARGE IMAGE DATABASE; PERFORMANCE COMPARISON; PERFORMANCE MEASURE; SPATIAL STATISTICS;

IMAGE PROCESSING; MATHEMATICAL MODELS;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84888320894     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2286907     Document Type: Article

References (42)

1. A. Davison, I. D. Reid, N. D. Molton, and O. Stasse, "Mono SLAM: Real-time single camera SLAM," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 6, pp. 1-16, Jun. 2007.
2. J. Civera, O. G. Grasa, A. J. Davison, and J. M. M. Montiel, "1-point RANSAC for EKF filtering: Application to real-time structure from motion and visual odometry," J. Field Robot., vol. 5, pp. 609-631, Jan. 2010.
3. H. Jin, S. Soatto, and A. J. Yezzi, "Multi-view stereo reconstruction of dense shape and complex appearance," Int. J. Comput. Vis., vol. 63, no. 3, pp. 175-189, 2005. (Pubitemid 41217745)
4. T. Tuytelaars and K. Mikolajczyk, "Local invariant feature detectors: A survey," Found. Trends Comput. Graph. Vis., vol. 3, no. 3, pp. 177-280, 2008.
5. N. A. Thacker, A. F. Clark, J. L. Barron, J. R. Beveridge, P. Courtney, W. R. Crum, et al. "Performance characterization in computer vision: A guide to best practices," Comput. Vis. Image Understand., vol. 109, no. 3, pp. 305-334, 2008. (Pubitemid 351226622)
6. K. Mikolajczyk and C. Schmid, "Scale and affine invariant interest point detectors," Int. J. Comput. Vis., vol. 60, no. 1, pp. 63-86, 2004.
7. S. Ehsan, N. Kanwal, A. F. Clark, and K. D. McDonald-Maier, "Improved repeatability measures for evaluating the performance of feature detectors," Electron. Lett., vol. 46, no. 14, pp. 998-1000, Jul. 2010.
8. E. Bostanci, N. Kanwal, and A. F. Clark, "Feature coverage for better homography estimation: An application to image stitching," in Proc. IEEE 19th Int. Conf. Syst. Signals Image Process., Apr. 2012, pp. 448-451.
9. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge, U.K.: Cambridge University Press, 2003.
10. J. Sola, "Towards visual localization, mapping and moving objects tracking by a mobile robot: A geometric and probabilistic approach," Ph.D. dissertation, Institute National Politechnique de Toulouse, France, 2007.
11. Y. Ma, S. Soatto, and J. Kosecka, An Invitation to 3-D Vision: From Images to Geometric Models. New York, NY, USA: Springer-Verlag, 2004.
12. M. Perdoch, J. Matas, and S. Obdrzalek, "Stable affine frames on isophotes," in Proc. 11th ICCV, Oct. 2007, pp. 1-8.
13. T. Dickscheid and W. Förstner, "Evaluating the suitability of feature detectors for automatic image orientation systems," in Proc. ICVS, 2009, pp. 305-314.
14. T. Tuytelaars, "Dense interest points," in Proc. IEEE CVPR, Jun. 2010, pp. 2281-2288.
15. S. Ehsan, N. Kanwal, A. F. Clark, and K. McDonald-Maier, "Measuring the coverage of interest point detectors," in Proc. ICIAR, 2011, pp. 253-261.
16. T. Dickscheid, F. Schindler, and W. Förstner, "Coding images with local features," Int. J. Comput. Vis., vol. 94, no. 2, pp. 154-174, 2011.
17. H. Aanæs, A. L. Dahl, and K. S. Pedersen, "Interesting interest points-A comparative study of interest point performance on a unique data set," Int. J. Comput. Vis., vol. 5, pp. 1-18, Feb. 2011.
18. M. J. Crawley, The R Book. New York, NY, USA: Wiley, 2007.
19. R. S. Bivand, E. Pebesma, and V. Gomez-Rubio, Applied Spatial Analysis with R. New York, NY, USA: Springer-Verlag, 2008.
20. B. W. Silverman, "Density estimation for statistics and data analysis," in Proc. Monograph. Stat. Appl. Probab., 1986, pp. 1-5.
21. A. Baddeley, "Analysing spatial point patterns in R," in Proc. Workshop Notes, 2008, pp. 20-25.
22. J. J. Lennon, "Red-shifts and red herrings in geographical ecology," Ecography, vol. 23, no. 1, pp. 101-113, 2000. (Pubitemid 30167957)
23. S. Shekar and H. Xiong, Encyclopedia of GIS. New York, NY, USA: Springer-Verlag, 2008.
24. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
25. P. M. Dixon, "Ripley's K function," Encyclopedia Environ., vol. 3, pp. 1796-1803, Jan. 2002.
26. S. B. Austin, S. J. Melly, B. N. Sanchez, A. Patel, S. Buka, and S. L. Gortmaker, "Clustering of fast-food restaurants around schools: A novel application of spatial statistics to the study of food environments," Amer. J. Public Health, vol. 95, no. 9, pp. 1575-1581, 2005. (Pubitemid 41232951)
27. S. Spielman, "Appropriate use of the K function in urban environments," Amer. J. Public Health, vol. 96, no. 2, pp. 1-205, Feb. 2006.
28. L. O. Martins, E. C. Silva, A. C. Silva, A. C. Paiva, and M. Gattass, "Classification of breast masses in mammogram images using Ripley's k function and support vector machine," in Proc. 5th Int. Conf. Mach. Learn. Data Mining Pattern Recognit., 2007, pp. 784-794. (Pubitemid 350270703)
29. B. D. Ripley, "The second order analysis of stationary point processes," J. Appl. Probab., vol. 13, no. 2, pp. 255-266, 1976.
30. B. D. Ripley, "Modelling spatial patterns," J. R. Stat. Soc., vol. 39, pp. 172-212, Mar. 1977.
31. T. Tuytelaars, L. Van Gool, L. D'haene, and R. Koch, "Matching of affinely invariant regions for visual servoing," in Proc. Int. Conf. Robot. Autom., 1999, pp. 1601-1606.
32. E. Rosten and T. Drummond, "Machine learning for high-speed corner detection," in Proc. Comput. Vision-ECCV, 2006, pp. 430-443. (Pubitemid 44029797)
33. C. Harris and M. Stephens, "A combined corner and edge detector," in Proc. Alvey Vision Conf., 1988, pp. 147-152.
34. T. Tuytelaars and L. Van Gool, "Matching widely separated views based on affine invariant regions," Int. J. Comput. Vis., vol. 59, no. 1, pp. 61-85, 2004.
35. W. Förstner, T. Dickscheid, and F. Schindler, "Detecting interpretable and accurate scale-invariant keypoints," in Proc. 12th IEEE ICCV, Jan. 2009, pp. 2256-2263.
36. H. Bay, T. Tuytelaars, and L. V. Gool, "SURF: Speeded up robust features," in Proc. EECV, LNCS, 2006, pp. 404-417. (Pubitemid 44029795)
37. S. Smith and J. Brady, "Susan: A new approach to low level image processing," Int. J. Comput. Vis., vol. 23, no. 1, pp. 45-78, 1997. (Pubitemid 127717027)
38. D. A. Berry, "Logarithmic transformations in ANOVA," Biometrics, vol. 43, no. 2, pp. 439-456, 1987. (Pubitemid 17125747)
39. H. O. Hartley, "The use of range in analysis of variance," Biometrika, vol. 37, nos. 3-4, pp. 271-280, 1950.
40. E. S. Pearson and H. O. Hartley, Biometrika Tables for Statisticians. Cambridge, U.K.: Cambridge University Press, 1972.
41. D. B. Duncan, "Multiple range and multiple F tests," Biometrics, vol. 11, pp. 1-42, Mar. 1955.
42. R. Szeliski, "Image alignment and stitching: A tutorial," Found. Trends Comput. Graph. Vis., vol. 2, no. 1, pp. 1-104, 2006.