Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1178677.1178706acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
Article

Constant tangential angle elected interest points

Published: 26 October 2006 Publication History

Abstract

This paper presents a new interest points detector whose goal is to better catch visual attention than standard detectors. It is based on the generalization of Loy and Zelinsky transform [18] which was originally developed to detect radial symmetry centers. The voting algorithm is here extended to a set of voting orientations which allows the construction of a more complete analyze space. The specificity of this detector is that it enables the detection of points with different topological natures with the same detector. Centers of geometric forms or curves as well as junctions or vanishing points can be detected depending on the image content. The paper describes and illustrates the principle of this new algorithm and discusses some properties and improvements. Preliminary experiments are also given and show that the detected points are stable under several typical transformations and that they are promising in terms of objects generic subparts detection.

References

[1]
A. Baumberg. Reliable feature matching across widely separated views. In CVPR, pages 1774--1781, 2000.]]
[2]
S. Bres and J. M. Jolion. Detection of interest points for image indexing. In Proc. of Int. Conf. on Visual Information Systems, pages 427--434, 1999.]]
[3]
G. Carneiro and A. D. Jepson. Phase-based local features. In Proc. of European Conf. on Computer Vision, pages 282--296, 2002.]]
[4]
F. Devernay. A Non-Maxima Suppression Method for Edge Detection with Sub-Pixel Accuracy. RR 2724, INRIA, November 1995.]]
[5]
R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2003.]]
[6]
L. Florack and A. Kuijper. The topological structure of scale-space images. Journal of Mathematical Imaging and Vision, 12(1):65--79, February 2000.]]
[7]
W. Förstner. A framework for low level feature extraction. In Proc. of European Conf. on Computer Vision, pages 383--394, 1994.]]
[8]
V. Gouet and N. Boujemaa. Object-based queries using color points of interest. In Proc. of IEEE Workshop on Content-Based Access of Image and Video Libraries, pages 30--36, 2001.]]
[9]
C. Harris and M. Stephens. A combined corner and edge detector. In Proc. of Alvey Vision Conf., pages 147--151, 1988.]]
[10]
F. Heitger, L. Rosenthaler, R. Heydt, and O. Kubler. Simulation of neural contour mechanisms: From simple to end-stopped cells. Vision Research, 32(5):963--981, 1992.]]
[11]
N. K. J. Fauqueur and R. Anderson. Multiscale keypoint detection using the dual-tree complex wavelet transform. In accepted in Proc. of Int. Conf. on Image Processing, 2006.]]
[12]
C. Kimme, D. Ballard, and J. Sklansky. Finding circles by an array of accumulators. Communications of the Association for Computing Machinery, 18(2):120--122, Feb. 1975.]]
[13]
S. Lazebnik, C. Schmid, and J. Ponce. Semi-local affine parts for object recognition. In British Machine Vision Conference, volume volume 2, pages 779--788, 2004.]]
[14]
C.-C. Lin and W.-C. Lin. Extracting facial features by an inhibitory mechanism based on gradient distributions. Pattern Recognition, 29(12): 2079--2101, 1996.]]
[15]
T. Lindeberg. Scale-space theory: A basic tool for analysing structures at different scales. Applied Statistics, 21(2):224--270, 1994.]]
[16]
P. J. Locher and C. F. Nodine. Symmetry Catches the Eye. In A. Levy-Schoen and J. K. O'Reagan, editors, Eye Movements: From Physiology to Cognition, pages 353--361. Elsevier Science Publishers B. V. (North Holland), 1987.]]
[17]
D. G. Lowe. Object recognition from local scale-invariant features. In Proc. of Int. Conf. on Computer Vision, pages 1150--1157, 1999.]]
[18]
G. Loy and A. Zelinsky. Fast radial symmetry for detecting points of interest. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(8), August 2003.]]
[19]
K. Mikolajczyk and C. Schmid. Scale and affine invariant interest point detectors. International Journal of Computer Vision, 60(1):63--86, 2004.]]
[20]
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(1/2):43--72, 2005.]]
[21]
A. Opelt, M. Fussenegger, and P. Auer. Generic object recognition with boosting. IEEE Trans. Pattern Anal. Mach. Intell., 28(3):416--431, 2006.]]
[22]
A. C. Parker. A representation for shape based on peaks and ridges in the difference of low pass transform. IEEE Transactions on PAMI, 6(2), mar 1984.]]
[23]
C. Privitera and L. Stark. Algorithms for defining visual regions-of-interest : Comparison with eye fixation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):970--982, 2000.]]
[24]
D. Reisfeld, H. Wolfson, and Y. Yeshurun. Context-free attentional operators: the generalized symmetry transform. Computer Vision, 14(2):119--130, 1995.]]
[25]
C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(5):530--535, 1997.]]
[26]
C. Schmid, R. Mohr, and C. Bauckhage. Comparing and evaluating interest points. In International Conference on Computer Vision, Real-Time Imaging, pages 230--235, January 1998.]]
[27]
C. Schmid, R. Mohr, and C. Bauckhage. Evaluation of interest point detectors. Computer Vision, 37(2): 151--172, 2000.]]
[28]
G. Sela and M. D. Levine. Real-time attention for robotic vision. Real-Time Imaging, 3(3):173--194, 1997.]]

Cited By

View all
  • (2009)A swarm intelligence based approach for image feature extraction2009 International Conference on Multimedia Computing and Systems10.1109/MMCS.2009.5256735(31-35)Online publication date: Apr-2009
  • (2007)Interpretability based interest points detectionProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282285(33-40)Online publication date: 9-Jul-2007

Index Terms

  1. Constant tangential angle elected interest points

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    MIR '06: Proceedings of the 8th ACM international workshop on Multimedia information retrieval
    October 2006
    344 pages
    ISBN:1595934952
    DOI:10.1145/1178677
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2006

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Article

    Conference

    MM06
    MM06: The 14th ACM International Conference on Multimedia 2006
    October 26 - 27, 2006
    California, Santa Barbara, USA

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 26 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2009)A swarm intelligence based approach for image feature extraction2009 International Conference on Multimedia Computing and Systems10.1109/MMCS.2009.5256735(31-35)Online publication date: Apr-2009
    • (2007)Interpretability based interest points detectionProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282285(33-40)Online publication date: 9-Jul-2007

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media