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Euclidean skeletons using closest points
Is SIFT scale invariant?
1. | CMLA, ENS Cachan, 61 avenue du Président Wilson, 94235 Cachan Cedex, France |
2. | CMAP, Ecole Polytechnique, 91128 Palaiseau Cedex, France |
References:
[1] |
A. Agarwala, M. Agrawala, M. Cohen, D. Salesin and R. Szeliski, Photographing long scenes with multi-viewpoint panoramas,, International Conference on Computer Graphics and Interactive Techniques, (2006), 853. Google Scholar |
[2] |
A. Baumberg, Reliable feature matching across widely separated views,, Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 1 (2000), 774. Google Scholar |
[3] |
M. Bennewitz, C. Stachniss, W. Burgard and S. Behnke, Metric localization with scale-Invariant visual features using a single perspective camera,, European Robotics Symposium, (2006).
doi: 10.1007/11681120_16. |
[4] |
M. Brown and D. Lowe, Recognising panorama,, in Proc. the 9th Int. Conf. Computer Vision, (2003), 1218. Google Scholar |
[5] |
E. Y. Chang, EXTENT: Fusing context, content, and semantic ontology for photo annotation,, Proceedings of the 2nd International Workshop on Computer Vision Meets Databases, (2005), 5.
doi: 10.1145/1160939.1160945. |
[6] |
Q. Fan, K. Barnard, A. Amir, A. Efrat and M. Lin, Matching slides to presentation videos using SIFT and scene background matching,, Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, (2006), 239. Google Scholar |
[7] |
L. Février, "A Wide-baseline Matching Library for Zeno,", Internship report, (2007). Google Scholar |
[8] |
J. J. Foo and R. Sinha, Pruning SIFT for scalable near-duplicate image matching,, Proceedings of the Eighteenth Conference on Australasian Database, 63 (2007), 63. Google Scholar |
[9] |
G. Fritz, C. Seifert, M. Kumar and L. Paletta, Building detection from mobile imagery using informative SIFT descriptors,, Lecture Notes in Computer Science, (2005), 629.
doi: 10.1007/11499145_64. |
[10] |
C. Gasquet and P. Witomski, "Fourier Analysis and Applications: Filtering, Numerical Computation, Wavelets,", Springer Verlag, (1999).
|
[11] |
I. Gordon and D. G. Lowe, What and where: 3D object recognition with accurate pose,, Lecture Notes in Computer Science, 4170 (2006).
doi: 10.1007/11957959_4. |
[12] |
J. S. Hare and P. H. Lewis, Salient regions for query by image content,, Image and Video Retrieval: Third International Conference, (2004), 317. Google Scholar |
[13] |
C. Harris and M. Stephens, A combined corner and edge detector,, Alvey Vision Conference, 15 (1988). Google Scholar |
[14] |
T. Kadir, A. Zisserman and M. Brady, An affine invariant salient region detector,, in European Conference on Computer Vision, (2004), 228. Google Scholar |
[15] |
Y. Ke and R. Sukthankar, PCA-SIFT: A more distinctive representation for local image descriptors,, Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2 (2004), 506. Google Scholar |
[16] |
J. Kim, S. M. Seitz and M. Agrawala, Video-based document tracking: Unifying your physical and electronic desktops,, Proc. of the 17th Annual ACM Symposium on User interface Software and Technology, 24 (2004), 99. Google Scholar |
[17] |
B. N. Lee, W. Y. Chen and E. Y. Chang, Fotofiti: Web service for photo management,, Proceedings of the 14th Annual ACM International Conference on Multimedia, (2006), 485.
doi: 10.1145/1180639.1180737. |
[18] |
H. Lejsek, F. H. Ásmundsson, B. T. Jónsson and L. Amsaleg, Scalability of local image descriptors: A comparative study,, Proceedings of the 14th Annual ACM International Conference on Multimedia, (2006), 589.
doi: 10.1145/1180639.1180760. |
[19] |
T. Lindeberg, Scale-space theory: A basic tool for analyzing structures at different scales,, Journal of Applied Statistics, 21 (1994), 225.
doi: 10.1080/757582976. |
[20] |
T. Lindeberg and J. Garding, Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D brightness structure,, Proc. ECCV, (1994), 389. Google Scholar |
[21] |
D. G. Lowe, Distinctive image features from scale-invariant key points,, International Journal of Computer Vision, 60 (2004), 91.
doi: 10.1023/B:VISI.0000029664.99615.94. |
[22] |
J. Matas, O. Chum, M. Urban and T. Pajdla, Robust wide-baseline stereo from maximally stable extremal regions,, Image and Vision Computing, 22 (2004), 761.
doi: 10.1016/j.imavis.2004.02.006. |
[23] |
K. Mikolajczyk and C. Schmid, Indexing based on scale invariant interest points,, Proc. ICCV, 1 (2001), 525. Google Scholar |
[24] |
K. Mikolajczyk and C. Schmid, An affine invariant interest point detector,, Proc. ECCV, 1 (2002), 128. Google Scholar |
[25] |
K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors,, in, 2 (2003), 257. Google Scholar |
[26] |
K. Mikolajczyk and C. Schmid, Scale and affine invariant interest point detectors,, International Journal of Computer Vision, 60 (2004), 63.
doi: 10.1023/B:VISI.0000027790.02288.f2. |
[27] |
K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors,, IEEE Trans. PAMI, (2005), 1615. Google Scholar |
[28] |
K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir and L. V. Gool, A comparison of affine region detectors,, International Journal of Computer Vision, 65 (2005), 43.
doi: 10.1007/s11263-005-3848-x. |
[29] |
P. Monasse, Contrast invariant image registration,, Proc. of the International Conf. on Acoustics, 6 (1999), 3221. Google Scholar |
[30] |
P. Moreels and P. Perona, Common-frame model for object recognition,, Neural Information Processing Systems, (2004), 953. Google Scholar |
[31] |
J. M. Morel and G. Yu, ASIFT: A new framework for fully affine invariant image comparison,, SIAM Journal on Imaging Sciences, 2 (2009), 438.
doi: 10.1137/080732730. |
[32] |
A. Murarka, J. Modayil and B. Kuipers, Building local safety maps for a wheelchair robot using vision and lasers,, in, (2006). Google Scholar |
[33] |
P. Musé, F. Sur, F. Cao and Y. Gousseau, Unsupervised thresholds for shape matching,, Proc. of the International Conference on Image Processing, 2 (2003), 647. Google Scholar |
[34] |
P. Musé, F. Sur, F. Cao, Y. Gousseau and J. M. Morel, An a contrario decision method for shape element recognition,, International Journal of Computer Vision, 69 (2006), 295.
doi: 10.1007/s11263-006-7546-0. |
[35] |
A. Negre, H. Tran, N. Gourier, D. Hall, A. Lux and J. L. Crowley, Comparative study of people detection in surveillance scenes,, Structural, 4109 (2006), 100.
doi: 10.1007/11815921_10. |
[36] |
D. Nister and H. Stewenius, Scalable recognition with a vocabulary tree,, Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, (2006), 2161. Google Scholar |
[37] |
J. Rabin, Y. Gousseau and J. Delon, A statistical approach to the matching of local features,, SIAM Journal on Imaging Sciences, 2 (2009), 931.
doi: 10.1137/090751359. |
[38] |
F. Riggi, M. Toews and T. Arbel, Fundamental matrix estimation via TIP-transfer of invariant parameters,, Proceedings of the 18th International Conference on Pattern Recognition (ICPR'06), 2 (2006), 21. Google Scholar |
[39] |
J. Ruiz-del Solar, P. Loncomilla and C. Devia, A new approach for fingerprint verification based on wide baseline matching using local interest points and descriptors,, Lecture Notes in Computer Science, 4872 (2007), 586.
doi: 10.1007/978-3-540-77129-6_51. |
[40] |
P. Scovanner, S. Ali and M. Shah, A 3-dimensional SIFT descriptor and its application to action recognition,, Proceedings of the 15th International Conference on Multimedia, (2007), 357.
doi: 10.1145/1291233.1291311. |
[41] |
C. E. Shannon, A mathematical theory of communication,, The Bell System Technical Journal, 27 (1948), 623.
|
[42] |
T. Tuytelaars and L. Van Gool, Matching widely separated views based on affine invariant regions,, International Journal of Computer Vision, 59 (2004), 61.
doi: 10.1023/B:VISI.0000020671.28016.e8. |
[43] |
L. Vacchetti, V. Lepetit and P. Fua, Stable real-time 3D tracking using online and offline information,, IEEE Trans PAMI, (2004), 1385. Google Scholar |
[44] |
M. Veloso, F. von Hundelshausen and P. E. Rybski, Learning visual object definitions by observing human activities,, in, (2005), 148.
doi: 10.1109/ICHR.2005.1573560. |
[45] |
M. Vergauwen and L. Van Gool, Web-based 3D reconstruction service,, Machine Vision and Applications, 17 (2005), 411.
doi: 10.1007/s00138-006-0027-1. |
[46] |
K. Yanai, Image collector III: a web image-gathering system with bag-of-keypoints,, Proc. of the 16th Int. Conf. on World Wide Web, (2007), 1295.
doi: 10.1145/1242572.1242816. |
show all references
References:
[1] |
A. Agarwala, M. Agrawala, M. Cohen, D. Salesin and R. Szeliski, Photographing long scenes with multi-viewpoint panoramas,, International Conference on Computer Graphics and Interactive Techniques, (2006), 853. Google Scholar |
[2] |
A. Baumberg, Reliable feature matching across widely separated views,, Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 1 (2000), 774. Google Scholar |
[3] |
M. Bennewitz, C. Stachniss, W. Burgard and S. Behnke, Metric localization with scale-Invariant visual features using a single perspective camera,, European Robotics Symposium, (2006).
doi: 10.1007/11681120_16. |
[4] |
M. Brown and D. Lowe, Recognising panorama,, in Proc. the 9th Int. Conf. Computer Vision, (2003), 1218. Google Scholar |
[5] |
E. Y. Chang, EXTENT: Fusing context, content, and semantic ontology for photo annotation,, Proceedings of the 2nd International Workshop on Computer Vision Meets Databases, (2005), 5.
doi: 10.1145/1160939.1160945. |
[6] |
Q. Fan, K. Barnard, A. Amir, A. Efrat and M. Lin, Matching slides to presentation videos using SIFT and scene background matching,, Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, (2006), 239. Google Scholar |
[7] |
L. Février, "A Wide-baseline Matching Library for Zeno,", Internship report, (2007). Google Scholar |
[8] |
J. J. Foo and R. Sinha, Pruning SIFT for scalable near-duplicate image matching,, Proceedings of the Eighteenth Conference on Australasian Database, 63 (2007), 63. Google Scholar |
[9] |
G. Fritz, C. Seifert, M. Kumar and L. Paletta, Building detection from mobile imagery using informative SIFT descriptors,, Lecture Notes in Computer Science, (2005), 629.
doi: 10.1007/11499145_64. |
[10] |
C. Gasquet and P. Witomski, "Fourier Analysis and Applications: Filtering, Numerical Computation, Wavelets,", Springer Verlag, (1999).
|
[11] |
I. Gordon and D. G. Lowe, What and where: 3D object recognition with accurate pose,, Lecture Notes in Computer Science, 4170 (2006).
doi: 10.1007/11957959_4. |
[12] |
J. S. Hare and P. H. Lewis, Salient regions for query by image content,, Image and Video Retrieval: Third International Conference, (2004), 317. Google Scholar |
[13] |
C. Harris and M. Stephens, A combined corner and edge detector,, Alvey Vision Conference, 15 (1988). Google Scholar |
[14] |
T. Kadir, A. Zisserman and M. Brady, An affine invariant salient region detector,, in European Conference on Computer Vision, (2004), 228. Google Scholar |
[15] |
Y. Ke and R. Sukthankar, PCA-SIFT: A more distinctive representation for local image descriptors,, Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2 (2004), 506. Google Scholar |
[16] |
J. Kim, S. M. Seitz and M. Agrawala, Video-based document tracking: Unifying your physical and electronic desktops,, Proc. of the 17th Annual ACM Symposium on User interface Software and Technology, 24 (2004), 99. Google Scholar |
[17] |
B. N. Lee, W. Y. Chen and E. Y. Chang, Fotofiti: Web service for photo management,, Proceedings of the 14th Annual ACM International Conference on Multimedia, (2006), 485.
doi: 10.1145/1180639.1180737. |
[18] |
H. Lejsek, F. H. Ásmundsson, B. T. Jónsson and L. Amsaleg, Scalability of local image descriptors: A comparative study,, Proceedings of the 14th Annual ACM International Conference on Multimedia, (2006), 589.
doi: 10.1145/1180639.1180760. |
[19] |
T. Lindeberg, Scale-space theory: A basic tool for analyzing structures at different scales,, Journal of Applied Statistics, 21 (1994), 225.
doi: 10.1080/757582976. |
[20] |
T. Lindeberg and J. Garding, Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D brightness structure,, Proc. ECCV, (1994), 389. Google Scholar |
[21] |
D. G. Lowe, Distinctive image features from scale-invariant key points,, International Journal of Computer Vision, 60 (2004), 91.
doi: 10.1023/B:VISI.0000029664.99615.94. |
[22] |
J. Matas, O. Chum, M. Urban and T. Pajdla, Robust wide-baseline stereo from maximally stable extremal regions,, Image and Vision Computing, 22 (2004), 761.
doi: 10.1016/j.imavis.2004.02.006. |
[23] |
K. Mikolajczyk and C. Schmid, Indexing based on scale invariant interest points,, Proc. ICCV, 1 (2001), 525. Google Scholar |
[24] |
K. Mikolajczyk and C. Schmid, An affine invariant interest point detector,, Proc. ECCV, 1 (2002), 128. Google Scholar |
[25] |
K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors,, in, 2 (2003), 257. Google Scholar |
[26] |
K. Mikolajczyk and C. Schmid, Scale and affine invariant interest point detectors,, International Journal of Computer Vision, 60 (2004), 63.
doi: 10.1023/B:VISI.0000027790.02288.f2. |
[27] |
K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors,, IEEE Trans. PAMI, (2005), 1615. Google Scholar |
[28] |
K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir and L. V. Gool, A comparison of affine region detectors,, International Journal of Computer Vision, 65 (2005), 43.
doi: 10.1007/s11263-005-3848-x. |
[29] |
P. Monasse, Contrast invariant image registration,, Proc. of the International Conf. on Acoustics, 6 (1999), 3221. Google Scholar |
[30] |
P. Moreels and P. Perona, Common-frame model for object recognition,, Neural Information Processing Systems, (2004), 953. Google Scholar |
[31] |
J. M. Morel and G. Yu, ASIFT: A new framework for fully affine invariant image comparison,, SIAM Journal on Imaging Sciences, 2 (2009), 438.
doi: 10.1137/080732730. |
[32] |
A. Murarka, J. Modayil and B. Kuipers, Building local safety maps for a wheelchair robot using vision and lasers,, in, (2006). Google Scholar |
[33] |
P. Musé, F. Sur, F. Cao and Y. Gousseau, Unsupervised thresholds for shape matching,, Proc. of the International Conference on Image Processing, 2 (2003), 647. Google Scholar |
[34] |
P. Musé, F. Sur, F. Cao, Y. Gousseau and J. M. Morel, An a contrario decision method for shape element recognition,, International Journal of Computer Vision, 69 (2006), 295.
doi: 10.1007/s11263-006-7546-0. |
[35] |
A. Negre, H. Tran, N. Gourier, D. Hall, A. Lux and J. L. Crowley, Comparative study of people detection in surveillance scenes,, Structural, 4109 (2006), 100.
doi: 10.1007/11815921_10. |
[36] |
D. Nister and H. Stewenius, Scalable recognition with a vocabulary tree,, Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, (2006), 2161. Google Scholar |
[37] |
J. Rabin, Y. Gousseau and J. Delon, A statistical approach to the matching of local features,, SIAM Journal on Imaging Sciences, 2 (2009), 931.
doi: 10.1137/090751359. |
[38] |
F. Riggi, M. Toews and T. Arbel, Fundamental matrix estimation via TIP-transfer of invariant parameters,, Proceedings of the 18th International Conference on Pattern Recognition (ICPR'06), 2 (2006), 21. Google Scholar |
[39] |
J. Ruiz-del Solar, P. Loncomilla and C. Devia, A new approach for fingerprint verification based on wide baseline matching using local interest points and descriptors,, Lecture Notes in Computer Science, 4872 (2007), 586.
doi: 10.1007/978-3-540-77129-6_51. |
[40] |
P. Scovanner, S. Ali and M. Shah, A 3-dimensional SIFT descriptor and its application to action recognition,, Proceedings of the 15th International Conference on Multimedia, (2007), 357.
doi: 10.1145/1291233.1291311. |
[41] |
C. E. Shannon, A mathematical theory of communication,, The Bell System Technical Journal, 27 (1948), 623.
|
[42] |
T. Tuytelaars and L. Van Gool, Matching widely separated views based on affine invariant regions,, International Journal of Computer Vision, 59 (2004), 61.
doi: 10.1023/B:VISI.0000020671.28016.e8. |
[43] |
L. Vacchetti, V. Lepetit and P. Fua, Stable real-time 3D tracking using online and offline information,, IEEE Trans PAMI, (2004), 1385. Google Scholar |
[44] |
M. Veloso, F. von Hundelshausen and P. E. Rybski, Learning visual object definitions by observing human activities,, in, (2005), 148.
doi: 10.1109/ICHR.2005.1573560. |
[45] |
M. Vergauwen and L. Van Gool, Web-based 3D reconstruction service,, Machine Vision and Applications, 17 (2005), 411.
doi: 10.1007/s00138-006-0027-1. |
[46] |
K. Yanai, Image collector III: a web image-gathering system with bag-of-keypoints,, Proc. of the 16th Int. Conf. on World Wide Web, (2007), 1295.
doi: 10.1145/1242572.1242816. |
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